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Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Victor Zhong · Austin W. Hanjie · Sida Wang · Karthik Narasimhan · Luke Zettlemoyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang · yaxing wang · Joost van de Weijer · Luis Herranz · Shangling Jui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu · Dongruo Zhou · Ruoxi Jiang · Quanquan Gu · Rebecca Willett · Robert Nowak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay · Yanbei Chen · Zeynep Akata
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Praveen Venkatesh · Sanghamitra Dutta · Neil Mehta · Pulkit Grover
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu · Wei Ping · Chaowei Xiao · Mohammad Shoeybi · Tom Goldstein · Anima Anandkumar · Bryan Catanzaro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Training of Neural Lumigraph Representations using Meta Learning
Alexander Bergman · Petr Kellnhofer · Gordon Wetzstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra · Daniel Zoran · Goker Erdogan · Loic Matthey · Antonia Creswell · Matt Botvinick · Alexander Lerchner · Chris Burgess
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Teachable Reinforcement Learning via Advice Distillation
Olivia Watkins · Abhishek Gupta · Trevor Darrell · Pieter Abbeel · Jacob Andreas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili · Nacime Bouziani · Sepehr Jalali · Alberto Bernacchia · Da-shan Shiu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke · Bing Liu · Nianzu Ma · Hu Xu · Lei Shu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang · Woohyeon Shim · Minsu Cho · Jaesik Park
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot · Julien Mairal · Alessandro Rudi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Phase Retrieval
Tor Lattimore · Botao Hao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko · Khashayar Khosravi · Jean Pouget-Abadie · Sébastien Lahaie · Miles Lubin · Vahab Mirrokni · Jann Spiess · guido imbens
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
Qi Qi · Zhishuai Guo · Yi Xu · Rong Jin · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast rates for prediction with limited expert advice
El Mehdi Saad · Gilles Blanchard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Auto-Curricula in Two-Player Zero-Sum Games
Xidong Feng · Oliver Slumbers · Ziyu Wan · Bo Liu · Stephen McAleer · Ying Wen · Jun Wang · Yaodong Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma · Geng Yuan · Xuan Shen · Tianlong Chen · Xuxi Chen · Xiaohan Chen · Ning Liu · Minghai Qin · Sijia Liu · Zhangyang Wang · Yanzhi Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis · Abir De · Manuel Rodriguez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Alessandro Favero · Francesco Cagnetta · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
Aviv Gabbay · Niv Cohen · Yedid Hoshen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Policies Tend To Seek Power
Alex Turner · Logan Smith · Rohin Shah · Andrew Critch · Prasad Tadepalli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples Make Strong Poisons
Liam Fowl · Micah Goldblum · Ping-yeh Chiang · Jonas Geiping · Wojciech Czaja · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
3DP3: 3D Scene Perception via Probabilistic Programming
Nishad Gothoskar · Marco Cusumano-Towner · Ben Zinberg · Matin Ghavamizadeh · Falk Pollok · Austin Garrett · Josh Tenenbaum · Dan Gutfreund · Vikash Mansinghka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Inference for Event Pairs in Multivariate Point Processes
Tian Gao · Dharmashankar Subramanian · Debarun Bhattacharjya · Xiao Shou · Nicholas Mattei · Kristin P Bennett
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Ondrej Bohdal · Yongxin Yang · Timothy Hospedales
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Partition and Code: learning how to compress graphs
Giorgos Bouritsas · Andreas Loukas · Nikolaos Karalias · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi · Deokki Hong · Noseong Park · Youngsok Kim · Jinho Lee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Alan Malek · Silvia Chiappa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Deep Learning Models for Tabular Data
Yury Gorishniy · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
Wesley Maddox · Samuel Stanton · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
Vivswan Shitole · Fuxin Li · Minsuk Kahng · Prasad Tadepalli · Alan Fern
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
Antonia Creswell · Rishabh Kabra · Chris Burgess · Murray Shanahan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multimodal Virtual Point 3D Detection
Tianwei Yin · Xingyi Zhou · Philipp Krähenbühl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao · Zhuoran Liu · Martha Larson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang · Yiqi Zhong · Ulrich Neumann · Gang Wang · Siheng Chen · Ya Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Wider Neural Networks Really Help Adversarial Robustness?
Boxi Wu · Jinghui Chen · Deng Cai · Xiaofei He · Quanquan Gu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel · Rémi Bardenet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Streaming Belief Propagation for Community Detection
Yuchen Wu · Jakab Tardos · Mohammadhossein Bateni · André Linhares · Filipe Miguel Goncalves de Almeida · Andrea Montanari · Ashkan Norouzi-Fard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Kernel Identification Through Transformers
Fergus Simpson · Ian Davies · Vidhi Lalchand · Alessandro Vullo · Nicolas Durrande · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Alexander Reisach · Christof Seiler · Sebastian Weichwald
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Variational Diffusion Models
Diederik Kingma · Tim Salimans · Ben Poole · Jonathan Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
Robert Lieck · Martin Rohrmeier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh · Pan Li · Cong Hao · Jennifer Neville
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stateful ODE-Nets using Basis Function Expansions
Alejandro Queiruga · N. Benjamin Erichson · Liam Hodgkinson · Michael Mahoney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija · Hesham Mostafa · Marcel Nassar · Valentino Crespi · Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cortico-cerebellar networks as decoupling neural interfaces
Joseph Pemberton · Ellen Boven · Richard Apps · Rui Ponte Costa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang · Tadashi Kozuno · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Targeted Neural Dynamical Modeling
Cole Hurwitz · Akash Srivastava · Kai Xu · Justin Jude · Matthew Perich · Lee Miller · Matthias Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani · Shan Yang · Anurag Arnab · Aren Jansen · Cordelia Schmid · Chen Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom · Daniel D. Johnson · Chris Maddison · Daniel Tarlow · Tamir Hazan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Universality of Graph Neural Networks on Large Random Graphs
Nicolas Keriven · Alberto Bietti · Samuel Vaiter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua · Yichi Zhang · Chuan Guo · Zhiru Zhang · G. Edward Suh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Monte Carlo Tree Search With Iteratively Refining State Abstractions
Samuel Sokota · Caleb Y Ho · Zaheen Ahmad · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dueling Bandits with Adversarial Sleeping
Aadirupa Saha · Pierre Gaillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Samuel Deng · Sanjam Garg · Somesh Jha · Saeed Mahloujifar · Mohammad Mahmoody · Abhradeep Guha Thakurta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu · Thiemo Alldieck · Cristian Sminchisescu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath · Amit Deshpande · Subrahmanyam Kambhampati Venkata · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo · Rutav Shah · Rameswar Panda · Kate Saenko · Abir Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Disentangled Behavior Embeddings
Changhao Shi · Sivan Schwartz · Shahar Levy · Shay Achvat · Maisan Abboud · Amir Ghanayim · Jackie Schiller · Gal Mishne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
David Madras · Richard Zemel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Computer-Aided Design as Language
Yaroslav Ganin · Sergey Bartunov · Yujia Li · Ethan Keller · Stefano Saliceti
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Impression learning: Online representation learning with synaptic plasticity
Colin Bredenberg · Benjamin Lyo · Eero Simoncelli · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Youngwoon Lee · Andrew Szot · Shao-Hua Sun · Joseph Lim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang · Chandler Squires · Caroline Uhler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Indexed Minimum Empirical Divergence for Unimodal Bandits
Hassan SABER · Pierre Ménard · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
Anne Draelos · Pranjal Gupta · Na Young Jun · Chaichontat Sriworarat · John Pearson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
Chenyi Zhang · Tongyang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan · Graham Neubig · Pengfei Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Ramesha Rakesh Mugaludi · Jogendra Nath Kundu · Varun Jampani · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Continuous Mapping For Augmentation Design
Keyu Tian · Chen Lin · Ser Nam Lim · Wanli Ouyang · Puneet Dokania · Philip Torr
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar · Fabrizio Frasca · Nina Otter · Yuguang Wang · Pietro Liò · Guido Montufar · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong · Morteza Ramezani · Mehrdad Mahdavi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
Mao Li · Kaiqi Jiang · Xinhua Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
R-Drop: Regularized Dropout for Neural Networks
xiaobo liang · Lijun Wu · Juntao Li · Yue Wang · Qi Meng · Tao Qin · Wei Chen · Min Zhang · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Noether Networks: meta-learning useful conserved quantities
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano · Shaun Singh · Edward Chou · Alex Berg · Jakob Foerster
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Sample-efficient Overparameterized Meta-learning
Yue Sun · Adhyyan Narang · Ibrahim Gulluk · Samet Oymak · Maryam Fazel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Anindya Sarkar · Anirban Sarkar · Sowrya Gali · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Panoptic 3D Scene Reconstruction From a Single RGB Image
Manuel Dahnert · Ji Hou · Matthias Niessner · Angela Dai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Träuble · Julius von Kügelgen · Matthäus Kleindessner · Francesco Locatello · Bernhard Schölkopf · Peter Gehler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li · Miao Hao · Zonglin Di · Nitesh Bharadwaj Gundavarapu · Xiaolong Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari · Liangzhe Yuan · Rui Qian · Wei-Hong Chuang · Shih-Fu Chang · Yin Cui · Boqing Gong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandits with Knapsacks beyond the Worst Case
Karthik Abinav Sankararaman · Aleksandrs Slivkins
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan · Mikhail Khodak · Dravyansh Sharma · Ameet Talwalkar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Role of Optimization in Double Descent: A Least Squares Study
Ilja Kuzborskij · Csaba Szepesvari · Omar Rivasplata · Amal Rannen-Triki · Razvan Pascanu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Tim Seyde · Igor Gilitschenski · Wilko Schwarting · Bartolomeo Stellato · Martin Riedmiller · Markus Wulfmeier · Daniela Rus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu · Wenkai Xu · Jie Lu · Danica J. Sutherland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Temporally Abstract Partial Models
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · Doina Precup
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A sampling-based circuit for optimal decision making
Camille Rullán Buxó · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen · Yi-Hsuan Tsai · Ming-Hsuan Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
Udari Madhushani · Abhimanyu Dubey · Naomi Leonard · Alex Pentland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
Alexandra Peste · Eugenia Iofinova · Adrian Vladu · Dan Alistarh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A first-order primal-dual method with adaptivity to local smoothness
Maria-Luiza Vladarean · Yura Malitsky · Volkan Cevher
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Enabling Meta-Learning from Target Models
Su Lu · Han-Jia Ye · Le Gan · De-Chuan Zhan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Approximates Sparse Distributed Memory
Trenton Bricken · Cengiz Pehlevan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Semi-Random Satisfaction of Voting Axioms
Lirong Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On sensitivity of meta-learning to support data
Mayank Agarwal · Mikhail Yurochkin · Yuekai Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski · Deepak Narayanan · Amar Phanishayee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Aounon Kumar · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Lenart Treven · Philippe Wenk · Florian Dorfler · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Julio Hurtado · Alain Raymond · Alvaro Soto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Convex Optimization with Continuous Switching Constraint
Guanghui Wang · Yuanyu Wan · Tianbao Yang · Lijun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Springer · Melanie Mitchell · Garrett Kenyon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie · Nan Jiang · Huan Wang · Caiming Xiong · Yu Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressive Visual Representations
Kuang-Huei Lee · Anurag Arnab · Sergio Guadarrama · John Canny · Ian Fischer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Marco Mondelli · Ramji Venkataramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu · Zuxuan Wu · Micah Goldblum · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structural Credit Assignment in Neural Networks using Reinforcement Learning
Dhawal Gupta · Gabor Mihucz · Matthew Schlegel · James Kostas · Philip Thomas · Martha White
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li · Bang Liu · Yaoliang Yu · Wulong Liu · Chunjing XU · Vahid Partovi Nia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Sina Akbari · Ehsan Mokhtarian · AmirEmad Ghassami · Negar Kiyavash
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta · Gowthami Somepalli · Anubhav Anubhav · Vinoj Yasanga Jayasundara Magalle Hewa · Matthias Zwicker · Abhinav Shrivastava
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto · George Deligiannidis · Murat Erdogdu · Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla · Swabha Swayamdipta · Rowan Zellers · John Thickstun · Sean Welleck · Yejin Choi · Zaid Harchaoui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin · Huan-Hsin Tseng · Xugang Lu · Yu Tsao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang · Kyle Hsu · Jianing Li · Chelsea Finn · Roger Grosse
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
Wesley Maddox · Maximilian Balandat · Andrew Wilson · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Grady Daniels · Tyler Maunu · Paul Hand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen · Neil Band · Clare Lyle · Aidan Gomez · Thomas Rainforth · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
Stefano Sarao Mannelli · Pierfrancesco Urbani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tighter Expected Generalization Error Bounds via Wasserstein Distance
Borja Rodríguez Gálvez · German Bassi · Ragnar Thobaben · Mikael Skoglund
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli · Alessio Russo · Marcello Restelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy · Aditya Grover · Stefano Ermon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid · Anirudha Majumdar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang · Wenhu Chen · Michael Saxon · William Yang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec · Christian Wolf · Grigory Antipov · Moez Baccouche · Madiha Nadri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason Lee · Qi Lei · Nikunj Saunshi · JIACHENG ZHUO
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
Ignavier Ng · Yujia Zheng · Jiji Zhang · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang · Henrik Marklund · Nikita Dhawan · Abhishek Gupta · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline RL Without Off-Policy Evaluation
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi · Milad Mozafari · Callum Biggs O'May · B. ADOR · Andrea Alamia · Rufin VanRullen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit · Assaf Zeevi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Bruno Andreis · Jeffrey Willette · Juho Lee · Sung Ju Hwang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault · Shahab Bakhtiari · Blake Richards · Christopher Pack
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Petar Stojanov · Zijian Li · Mingming Gong · Ruichu Cai · Jaime Carbonell · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir · James Hensman · Mark van der Wilk · Carl Henrik Ek · Zoubin Ghahramani · Nicolas Durrande
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
Orestis Papadigenopoulos · Constantine Caramanis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
Zahra Kadkhodaie · Eero Simoncelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Suboptimality of Thompson Sampling in High Dimensions
Raymond Zhang · Richard Combes
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin · Evgenios Kornaropoulos · Dawn Song · David Wagner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang · Xinfeng Zhang · Shanshe Wang · Siwei Ma · Yan Ye · Xiang Xinguang · Wen Gao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou · Adhi Kuncoro · Elena Gribovskaya · Devang Agrawal · Adam Liska · Tayfun Terzi · Mai Gimenez · Cyprien de Masson d'Autume · Tomas Kocisky · Sebastian Ruder · Dani Yogatama · Kris Cao · Susannah Barlow · Phil Blunsom
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng · Yu-Wing Tai · Chi-Keung Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
Zhaozhi Qian · Yao Zhang · Ioana Bica · Angela Wood · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Graph Neural Networks with Local Graph Parameters
Pablo Barceló · Floris Geerts · Juan Reutter · Maksimilian Ryschkov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski · Pablo Samuel Castro · Will Dabney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss · Dominique Heyn · jinfan Chen · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley · Annie Gray · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Chen Ma · Xiangyu Guo · Li Chen · Jun-Hai Yong · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
Severi Rissanen · Pekka Marttinen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal · Abdullah Alomar · Varkey Alumootil · Devavrat Shah · Dennis Shen · Zhi Xu · Cindy Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compressed Video Contrastive Learning
Yuqi Huo · Mingyu Ding · Haoyu Lu · Nanyi Fei · Zhiwu Lu · Ji-Rong Wen · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
Wanxin Jin · Shaoshuai Mou · George J. Pappas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Khaled Nakhleh · Santosh Ganji · Ping-Chun Hsieh · I-Hong Hou · Srinivas Shakkottai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger · Natalia Shepeleva · Marius-Constantin Dinu · Hamid Eghbal-zadeh · Hoan Duc Nguyen · Bernhard Nessler · Sergei Pereverzyev · Bernhard A. Moser
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
Aniketh Janardhan Reddy · Leila Wehbe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-modal Dependency Tree for Video Captioning
Wentian Zhao · Xinxiao Wu · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Linear-Time Probabilistic Solution of Boundary Value Problems
Nicholas Krämer · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan · Cheng Zhang · Yandong Li · Hexiang Hu · Dong Xuan · Soravit Changpinyo · Boqing Gong · Wei-Lun Chao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders
Konstantin Genin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
Zachary Markovich
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
Yoav Wald · Amir Feder · Daniel Greenfeld · Uri Shalit
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
Paul Liu · Aviad Rubinstein · Jan Vondrak · Junyao Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
Aliakbar Panahi · Seyran Saeedi · Tom Arodz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
Gerrit van den Burg · Chris Williams
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online learning in MDPs with linear function approximation and bandit feedback.
Gergely Neu · Iuliia Olkhovskaia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen · Daeyoung Kim · Anh Nguyen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou · Zhimei Ren · Zhengyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multilingual Pre-training with Universal Dependency Learning
Kailai Sun · Zuchao Li · Hai Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera · Gilles Louppe · Van Anh Huynh-Thu · Louis Wehenkel · Pierre Geurts
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimality of variational inference for stochasticblock model with missing links
Solenne Gaucher · Olga Klopp
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
Rui Lin · Jie Ran · King Hung Chiu · Graziano Chesi · Ngai Wong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery · Soumyadeep Thakur · Vihari Piratla · Abir De · Sunita Sarawagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang · Tong Jian · Aria Masoomi · Stratis Ioannidis · Jennifer Dy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Credit Assignment Through Broadcasting a Global Error Vector
David Clark · L F Abbott · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi · Alain Durmus · Pierre E Jacob · Roland Badeau · Umut Simsekli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li · Abhishek Aich · Shitong Zhu · Salman Asif · Chengyu Song · Amit Roy-Chowdhury · Srikanth Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Gradient-based Hyperparameter Optimization Over Long Horizons
Paul Micaelli · Amos Storkey
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dense Unsupervised Learning for Video Segmentation
Nikita Araslanov · Simone Schaub-Meyer · Stefan Roth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebounding Bandits for Modeling Satiation Effects
Liu Leqi · Fatma Kilinc Karzan · Zachary Lipton · Alan Montgomery
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Jiani Huang · Ziyang Li · Binghong Chen · Karan Samel · Mayur Naik · Le Song · Xujie Si
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
Michael Poli · Stefano Massaroli · Luca Scimeca · Sanghyuk Chun · Seong Joon Oh · Atsushi Yamashita · Hajime Asama · Jinkyoo Park · Animesh Garg
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
Clémence Réda · Andrea Tirinzoni · Rémy Degenne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Maura Pintor · Fabio Roli · Wieland Brendel · Battista Biggio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reverse-Complement Equivariant Networks for DNA Sequences
Vincent Mallet · Jean-Philippe Vert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao · Pavol Bielik · Petar Tsankov · Martin Vechev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch · Alexander D'Amour · Steve Yadlowsky · Jacob Eisenstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding inductive biases in natural images: invariance stems from variations in data
Diane Bouchacourt · Mark Ibrahim · Ari Morcos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
Shibani Santurkar · Dimitris Tsipras · Mahalaxmi Elango · David Bau · Antonio Torralba · Aleksander Madry
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai · Chia-Yi Hsu · Chia-Mu Yu · Pin-Yu Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Large-Scale Wasserstein Gradient Flows
Petr Mokrov · Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Tian Ye · Simon Du
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SOLQ: Segmenting Objects by Learning Queries
Bin Dong · Fangao Zeng · Tiancai Wang · Xiangyu Zhang · Yichen Wei
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro · Tyler Kastner · Prakash Panangaden · Mark Rowland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness between the worst and average case
Leslie Rice · Anna Bair · Huan Zhang · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong · Sejun Park · Minkyu Kim · Heung-Chang Lee · Do-Guk Kim · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Cristopher Salvi · Maud Lemercier · Chong Liu · Blanka Horvath · Theodoros Damoulas · Terry Lyons
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Valentin Delchevalerie · Adrien Bibal · Benoît Frénay · Alexandre Mayer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast and accurate randomized algorithms for low-rank tensor decompositions
Linjian Ma · Edgar Solomonik
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Graph Cellular Automata
Daniele Grattarola · Lorenzo Livi · Cesare Alippi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
Arno Solin · Ella Tamir · Prakhar Verma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
Weiming Liu · Jiajie Su · Chaochao Chen · Xiaolin Zheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
Ryusei Shingaki · manabu kuroki
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Challenges and Opportunities in High Dimensional Variational Inference
Akash Kumar Dhaka · Alejandro Catalina · Manushi Welandawe · Michael Andersen · Jonathan Huggins · Aki Vehtari
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Information Directed Sampling for Sparse Linear Bandits
Botao Hao · Tor Lattimore · Wei Deng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Black Box Probabilistic Numerics
Onur Teymur · Christopher Foley · Philip Breen · Toni Karvonen · Chris Oates
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu · Thomas Unterthiner · Simon Kornblith · Chiyuan Zhang · Alexey Dosovitskiy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer · Julia Herbinger · Giuseppe Casalicchio · Marius Lindauer · Bernd Bischl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun · Wenjun Xiong · Faming Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly Zhang · Lucas Janson · Susan Murphy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bootstrap Your Object Detector via Mixed Training
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Kernel-based Test of Independence for Cluster-correlated Data
Hongjiao Liu · Anna Plantinga · Yunhua Xiang · Michael Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi · Wei Xiong · Cong Shen · Jing Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei · Tamara L Berg · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
Elia Turner · Kabir V Dabholkar · Omri Barak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Pareto Frontier of model selection for general Contextual Bandits
Teodor Vanislavov Marinov · Julian Zimmert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera · Jacek Tabor · Aleksandra Nowak · Andrzej Bedychaj · Massimiliano Patacchiola · Tomasz Trzcinski · Przemysław Spurek · Maciej Zieba
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Introspective Distillation for Robust Question Answering
Yulei Niu · Hanwang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Jai Moondra · Hassan Mortagy · Swati Gupta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme · Joan Puigcerver · Basil Mustafa · Maxim Neumann · Rodolphe Jenatton · André Susano Pinto · Daniel Keysers · Neil Houlsby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessi · Eugene Kharitonov · Baroni Marco
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning One Representation to Optimize All Rewards
Ahmed Touati · Yann Ollivier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Regret Bounds for Gaussian-Process Optimization in Large Domains
Manuel Wuethrich · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
Wenxiao Xiao · Zhengming Ding · Hongfu Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel · Kim Batselier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich · Tomer Michaeli · Ron Meir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Amortized Policy Optimization
Joseph Marino · Alexandre Piche · Alessandro Davide Ialongo · Yisong Yue
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
Jiahua Dong · Zhen Fang · Anjin Liu · Gan Sun · Tongliang Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable rendering with perturbed optimizers
Quentin Le Lidec · Ivan Laptev · Cordelia Schmid · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese · Marco Romanelli · Daniele Gorla · Catuscia Palamidessi · Pablo Piantanida
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A novel notion of barycenter for probability distributions based on optimal weak mass transport
Elsa Cazelles · Felipe Tobar · Joaquin Fontbona
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Akshay Mehra · Bhavya Kailkhura · Pin-Yu Chen · Jihun Hamm
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Gaussian Processes with Derivative Information Using Variational Inference
Misha Padidar · Xinran Zhu · Leo Huang · Jacob Gardner · David Bindel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman · Avinatan Hassidim · Yossi Matias · Mariano Schain · Sandeep Silwal · Samson Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spot the Difference: Detection of Topological Changes via Geometric Alignment
Per Steffen Czolbe · Aasa Feragen · Oswin Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A variational approximate posterior for the deep Wishart process
Sebastian Ober · Laurence Aitchison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Approximating the Permanent with Deep Rejection Sampling
Juha Harviainen · Antti Röyskö · Mikko Koivisto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Alexander Filippov · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Biological learning in key-value memory networks
Danil Tyulmankov · Ching Fang · Annapurna Vadaparty · Guangyu Robert Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BNS: Building Network Structures Dynamically for Continual Learning
Qi Qin · Wenpeng Hu · Han Peng · Dongyan Zhao · Bing Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung · Varun Nair · Colin Raffel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Connecting Probability Estimation for Networks
Yichen Qin · Linhan Yu · Yang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Nathan Noiry · Vianney Perchet · Flore Sentenac
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha · Buye Xu · Anurag Kumar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tensor Normal Training for Deep Learning Models
Yi Ren · Donald Goldfarb
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recovering Latent Causal Factor for Generalization to Distributional Shifts
Xinwei Sun · Botong Wu · Xiangyu Zheng · Chang Liu · Wei Chen · Tao Qin · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz · Nadav Cohen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallelizing Thompson Sampling
Amin Karbasi · Vahab Mirrokni · Mohammad Shadravan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deconditional Downscaling with Gaussian Processes
Siu Lun Chau · Shahine Bouabid · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pooling by Sliced-Wasserstein Embedding
Navid Naderializadeh · Joseph F Comer · Reed Andrews · Heiko Hoffmann · Soheil Kolouri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
Ligeng Zhu · Hongzhou Lin · Yao Lu · Yujun Lin · Song Han
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Xuxi Chen · Tianlong Chen · Zhenyu Zhang · Zhangyang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unique sparse decomposition of low rank matrices
Dian Jin · Xin Bing · Yuqian Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Non-uniform Perturbations
Ecenaz Erdemir · Jeffrey Bickford · Luca Melis · Sergul Aydore
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
Debjit Paria · Abhishek Sinha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Bipartite Components in Hypergraphs
Peter Macgregor · He Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti · Vishakha Patil · Arindam Khan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin · Yang Hu · Guanya Shi · Haoyuan Sun · Guannan Qu · Adam Wierman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen · Yash Sharma · Luigi Gresele · Wieland Brendel · Bernhard Schölkopf · Michel Besserve · Francesco Locatello
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Submodular + Concave
Siddharth Mitra · Moran Feldman · Amin Karbasi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin · Michael Woodford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
Xinyi Xu · Zhaoxuan Wu · Chuan Sheng Foo · Bryan Kian Hsiang Low
[ Slides [ OpenReview
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo · Ryo Hachiuma · Ye Yuan · Kris Kitani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer · Josip Djolonga · Rob Romijnders · Frances Hubis · Xiaohua Zhai · Neil Houlsby · Dustin Tran · Mario Lucic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman · Christy Dennison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-armed Bandit Requiring Monotone Arm Sequences
Ningyuan Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
Menoua Keshishian · Samuel Norman-Haignere · Nima Mesgarani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Residual Relaxation for Multi-view Representation Learning
Yifei Wang · Zhengyang Geng · Feng Jiang · Chuming Li · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Consistent Models and Values
Greg Farquhar · Kate Baumli · Zita Marinho · Angelos Filos · Matteo Hessel · Hado van Hasselt · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
Zeyu Qin · Yanbo Fan · Hongyuan Zha · Baoyuan Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Automatic Unsupervised Outlier Model Selection
Yue Zhao · Ryan Rossi · Leman Akoglu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette · Elliot Paquette
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
Andrea Zanette · Kefan Dong · Jonathan N Lee · Emma Brunskill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi · Sven Gowal · Dan Andrei Calian · Florian Stimberg · Olivia Wiles · Timothy A Mann
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee · Jooyoung Choi · Jisoo Mok · Sungroh Yoon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Justin Lim · Christina Ji · Michael Oberst · Saul Blecker · Leora Horwitz · David Sontag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah · Kristian Georgiev · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
Yunan Liu · Shanshan Zhang · Yang Li · Jian Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Graph Neural Networks
Muhan Zhang · Pan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Marie-Anne Lachaux · Baptiste Roziere · Marc Szafraniec · Guillaume Lample
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Lin Yang · Yu-Zhen Janice Chen · Stephen Pasteris · Mohammad Hajiesmaili · John C. S. Lui · Don Towsley
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Zhang · Gengshan Yang · Shubham Tulsiani · Deva Ramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte · Tam Le · Edouard Pauwels · Tony Silveti-Falls
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Numerical influence of ReLU’(0) on backpropagation
David Bertoin · Jérôme Bolte · Sébastien Gerchinovitz · Edouard Pauwels
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu · Bin Li · Pengyi Shi · Lei Ying
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu · Xiao Li · Simon Zhai · Chong You · Zhihui Zhu · Carlos Fernandez-Granda · Qing Qu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
Frederik Schmitt · Christopher Hahn · Markus Rabe · Bernd Finkbeiner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie · Wenhai Wang · Zhiding Yu · Anima Anandkumar · Jose M. Alvarez · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Algorithms for Stochastic Contextual Preference Bandits
Aadirupa Saha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Joel Dapello · Jenelle Feather · Hang Le · Tiago Marques · David Cox · Josh McDermott · James J DiCarlo · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
Qijia Jiang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Hongwei Xue · Yupan Huang · Bei Liu · Houwen Peng · Jianlong Fu · Houqiang Li · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini · Alessandro Favero · Mario Geiger · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Ranking Policy Decisions
Hadrien Pouget · Hana Chockler · Youcheng Sun · Daniel Kroening
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
Xiong-Hui Chen · Yang Yu · Qingyang Li · Fan-Ming Luo · Zhiwei Qin · Wenjie Shang · Jieping Ye
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
Louis Kirsch · Jürgen Schmidhuber
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fitting summary statistics of neural data with a differentiable spiking network simulator
Guillaume Bellec · Shuqi Wang · Alireza Modirshanechi · Johanni Brea · Wulfram Gerstner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser · Thomas Hubert · Amol Mandhane · Mohammadamin Barekatain · Ioannis Antonoglou · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu · Wei Cheng · Dongsheng Luo · Haifeng Chen · Xiang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Algorithmic Stability of Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Learning Through the Lens of Example Difficulty
Robert Baldock · Hartmut Maennel · Behnam Neyshabur
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Certifying Robustness to Programmable Data Bias in Decision Trees
Anna Meyer · Aws Albarghouthi · Loris D'Antoni
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott · Shobha Venkataraman · Awni Hannun · Shubho Sengupta · Mark Ibrahim · Laurens van der Maaten
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust Change Point Detection
Mengchu Li · Yi Yu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang · Jianwen Xie · Nick Barnes · Ping Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Post-Contextual-Bandit Inference
Aurelien Bibaut · Maria Dimakopoulou · Nathan Kallus · Antoine Chambaz · Mark van der Laan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
Zhaozhi Qian · Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
Ramakrishna Vedantam · David Lopez-Paz · David Schwab
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo · Christos Davatzikos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa · Yutaka Matsuo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-Objective Meta Learning
Feiyang YE · Baijiong Lin · Zhixiong Yue · Pengxin Guo · Qiao Xiao · Yu Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur · Natasha Jaques · Yingjie Miao · Jongwook Choi · Manoj Tiwari · Honglak Lee · Aleksandra Faust
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
Oliver Hamelijnck · William Wilkinson · Niki Loppi · Arno Solin · Theodoros Damoulas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Aurélien Decelle · Cyril Furtlehner · Beatriz Seoane
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Causal Lens for Controllable Text Generation
Zhiting Hu · Li Erran Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
Thomas McDonald · Mauricio Álvarez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi · Arber Zela · Thomas Elsken · Chris C Holmes · Frank Hutter · Yee Teh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan · Alexander Wei · Yixin Wang · Michael Jordan · Jacob Steinhardt
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili · Henry Moss · Artem Artemev · Vincent Dutordoir · Victor Picheny
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
Johannes Friedrich · Siavash Golkar · Shiva Farashahi · Alexander Genkin · Anirvan Sengupta · Dmitri Chklovskii
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
Linus Hamilton · Ankur Moitra
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Robustness using Generated Data
Sven Gowal · Sylvestre-Alvise Rebuffi · Olivia Wiles · Florian Stimberg · Dan Andrei Calian · Timothy A Mann
[ Slides
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk · Yennie Jun · Filippo Volpin · Haider Iqbal · Elias Benussi · Frederic Dreyer · Aleksandar Shtedritski · Yuki Asano
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Partial success in closing the gap between human and machine vision
Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Akari Asai · Xinyan Yu · Jungo Kasai · Hanna Hajishirzi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Evaluating model performance under worst-case subpopulations
Mike Li · Hongseok Namkoong · Shangzhou Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On UMAP's True Loss Function
Sebastian Damrich · Fred Hamprecht
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park · Jaekyeom Kim · Gunhee Kim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
Yipei Wang · Xiaoqian Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
Thomas Spooner · Nelson Vadori · Sumitra Ganesh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong · Jiaqi Yang · Tengyu Ma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta · Marc Lanctot · Angeliki Lazaridou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
Yu Yao · Tongliang Liu · Mingming Gong · Bo Han · Gang Niu · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Sejourne · Francois-Xavier Vialard · Gabriel Peyré
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Dominic Gonschorek · Larissa Höfling · Klaudia P. Szatko · Katrin Franke · Timm Schubert · Benjamin Dunn · Philipp Berens · David Klindt · Thomas Euler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth · Changhee Lee · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Mehdi Fatemi · Taylor Killian · Jayakumar Subramanian · Marzyeh Ghassemi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Arbitrary Conditional Distributions with Energy
Ryan Strauss · Junier Oliva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao · Bryon Aragam
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Human-Adversarial Visual Question Answering
Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Frank Schneider · Felix Dangel · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
Burak Varici · Karthikeyan Shanmugam · Prasanna Sattigeri · Ali Tajer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Gholamali Aminian · Yuheng Bu · Laura Toni · Miguel Rodrigues · Gregory Wornell
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Jogendra Nath Kundu · Siddharth Seth · Anirudh Jamkhandi · Pradyumna YM · Varun Jampani · Anirban Chakraborty · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura · Jan Metzen · Matthias Hein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat · Idan Schwartz · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang · Qiang Qiu · Kenneth Church
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi · Alexandros Kalousis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser · Alexandru Tifrea · Michael Aerni · Reinhard Heckel · Fanny Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Morié Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu · Ruohao Guo · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Projected GANs Converge Faster
Axel Sauer · Kashyap Chitta · Jens Müller · Andreas Geiger
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Yifan Hu · Xin Chen · Niao He
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
Ziyu Xu · Ruodu Wang · Aaditya Ramdas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
John Bronskill · Daniela Massiceti · Massimiliano Patacchiola · Katja Hofmann · Sebastian Nowozin · Richard Turner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
Qi Qi · Youzhi Luo · Zhao Xu · Shuiwang Ji · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie · Dominic Masters · Zach Eaton-Rosen · Carlo Luschi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations Can Be Manipulated
Dylan Slack · Anna Hilgard · Himabindu Lakkaraju · Sameer Singh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi · Paul Viallard · Emilie Morvant · Rémi Emonet · Amaury Habrard · Pascal Germain · Benjamin Guedj
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overcoming the Convex Barrier for Simplex Inputs
Harkirat Singh Behl · M. Pawan Kumar · Philip Torr · Krishnamurthy Dvijotham
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Oliver Unke · Mihail Bogojeski · Michael Gastegger · Mario Geiger · Tess Smidt · Klaus-Robert Müller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun · Chuan Guo · Yixuan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
Priya Donti · Aayushya Agarwal · Neeraj Vijay Bedmutha · Larry Pileggi · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analysis of one-hidden-layer neural networks via the resolvent method
Vanessa Piccolo · Dominik Schröder
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
James Diffenderfer · Brian Bartoldson · Shreya Chaganti · Jize Zhang · Bhavya Kailkhura
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng · Shan You · Fei Wang · Chen Qian · Changshui Zhang · Xiaogang Wang · Chang Xu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Quickest Changepoint Detection
Aditya Gopalan · Braghadeesh Lakshminarayanan · Venkatesh Saligrama
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin · Xuezhi Wang · Alex Beutel · Ed Chi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
Alek Dimitriev · Mingyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Best-Arm Identification Methods for Tail-Risk Measures
Shubhada Agrawal · Wouter Koolen · Sandeep Juneja
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Many Faces of Adversarial Risk
Muni Sreenivas Pydi · Varun Jog
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Discrete-Valued Neural Communication
Dianbo Liu · Alex Lamb · Kenji Kawaguchi · Anirudh Goyal · Chen Sun · Michael Mozer · Yoshua Bengio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Row-clustering of a Point Process-valued Matrix
Lihao Yin · Ganggang Xu · Huiyan Sang · Yongtao Guan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
Alain Durmus · Eric Moulines · Alexey Naumov · Sergey Samsonov · Kevin Scaman · Hoi-To Wai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey · Luiz Chamon · George J. Pappas · Hamed Hassani · Alejandro Ribeiro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
Lior Yariv · Jiatao Gu · Yoni Kasten · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Refining Language Models with Compositional Explanations
Huihan Yao · Ying Chen · Qinyuan Ye · Xisen Jin · Xiang Ren
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
Brandon Carter · Siddhartha Jain · Jonas Mueller · David Gifford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang · Liu Leqi · Zachary Lipton · Kamyar Azizzadenesheli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri · Edgar Walker · Konstantin-Klemens Lurz · Akshay Jagadish · Taliah Muhammad · Zhiwei Ding · Zhuokun Ding · Andreas Tolias · Fabian Sinz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
Dorian Baudry · Patrick Saux · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning the optimal Tikhonov regularizer for inverse problems
Giovanni Alberti · Ernesto De Vito · Matti Lassas · Luca Ratti · Matteo Santacesaria
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Yuejiang Liu · Parth Kothari · Bastien van Delft · Baptiste Bellot-Gurlet · Taylor Mordan · Alexandre Alahi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu · Andrew Sedler · Harrison A Grier · Nauman Ahad · Mark Davenport · Matthew Kaufman · Andrea Giovannucci · Chethan Pandarinath
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shape Registration in the Time of Transformers
Giovanni Trappolini · Luca Cosmo · Luca Moschella · Riccardo Marin · Simone Melzi · Emanuele Rodolà
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Jayadev Acharya · Clement Canonne · Aditya Vikram Singh · Himanshu Tyagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Language models enable zero-shot prediction of the effects of mutations on protein function
Joshua Meier · Roshan Rao · Robert Verkuil · Jason Liu · Tom Sercu · Alex Rives
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Inductive Bias of Quantum Kernels
Jonas Kübler · Simon Buchholz · Bernhard Schölkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin · Jonas Wallin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang · Kuan-Chieh Wang · Frank Rudzicz · Michael Brudno
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reformulating Zero-shot Action Recognition for Multi-label Actions
Alec Kerrigan · Kevin Duarte · Yogesh Rawat · Mubarak Shah
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
Daniel Bolya · Rohit Mittapalli · Judy Hoffman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
Lee Cohen · Ulrike Schmidt-Kraepelin · Yishay Mansour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
Wamiq Para · Shariq Bhat · Paul Guerrero · Tom Kelly · Niloy Mitra · Leonidas Guibas · Peter Wonka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
Yihui Quek · Srinivasan Arunachalam · John A Smolin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Yu-Chia Chen · Marina Meila
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Zhuolin Yang · Linyi Li · Xiaojun Xu · Shiliang Zuo · Qian Chen · Pan Zhou · Benjamin Rubinstein · Ce Zhang · Bo Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
Minghao Chen · Kan Wu · Bolin Ni · Houwen Peng · Bei Liu · Jianlong Fu · Hongyang Chao · Haibin Ling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
Charles Blake · Vitaly Kurin · Maximilian Igl · Shimon Whiteson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Lampinen · Stephanie Chan · Andrea Banino · Felix Hill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau · Jean-Francois Ton · Javier González · Yee Teh · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek Farias · Andrew Li · Tianyi Peng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Causal Discovery with Atomic Interventions
Raghavendra Addanki · Shiva Kasiviswanathan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
Jiashun Jin · Zheng Tracy Ke · Jiajun Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation Learning
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
Shinji Ito
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang · Dayan Guan · Aoran Xiao · Shijian Lu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck · Mark Sellke
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
David Acuna · Jonah Philion · Sanja Fidler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan Foster · Akshay Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov · MICHAEL GHARBI · Matthew Fisher · Vitor Guizilini · Alexei Efros · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov · Patrick Nicholson · Sanae Lotfi · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
Oumayma Bounou · Jean Ponce · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu · Pieter Abbeel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
Chao Ma · Cheng Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Effect Inference for Structured Treatments
Jean Kaddour · Yuchen Zhu · Qi Liu · Matt Kusner · Ricardo Silva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson · Hossein Azizpour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan Perdomo · Jack Umenberger · Max Simchowitz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu · Qixuan Yu · Yang Zhang · Shang Wu · Xu Ouyang · David Cox · Yingyan Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran · Ohad Shamir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su · Frank Yu · Michael Zollhoefer · Helge Rhodin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen · Jean Feydy · Peirong Liu · Ariel H Curiale · Ruben San Jose Estepar · Raul San Jose Estepar · Marc Niethammer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang · Marko Mihajlovic · Qianli Ma · Andreas Geiger · Siyu Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh · Jad Rahme · Aviral Kumar · Amy Zhang · Ryan Adams · Sergey Levine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
Daniel Kumor · Junzhe Zhang · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding Spatio-Temporal Language with Transformers
Tristan Karch · Laetitia Teodorescu · Katja Hofmann · Clément Moulin-Frier · Pierre-Yves Oudeyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Comprehensive Knowledge Distillation with Causal Intervention
Xiang Deng · Zhongfei Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
Ya-Wei Eileen Lin · Yuval Kluger · Ronen Talmon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
Zhongzheng Ren · Xiaoming Zhao · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
Angeliki Giannou · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Panayotis Mertikopoulos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
How Does it Sound?
Kun Su · Xiulong Liu · Eli Shlizerman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Episodes, Prototypical Networks, and Few-Shot Learning
Steinar Laenen · Luca Bertinetto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Xingchen Wan · Henry Kenlay · Robin Ru · Arno Blaas · Michael A Osborne · Xiaowen Dong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul Bennett · Jiawei Han · XIA SONG
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee · Yeming Wen · Dipak Chaudhari · Thomas Reps · Swarat Chaudhuri · Christopher Jermaine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku · Jisung Yoon · Isabel Constantino · Yong-Yeol Ahn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Jeffrey Adams · Niels Hansen · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk · Naresh Shanbhag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
Tsuyoshi Ide · Georgios Kollias · Dzung Phan · Naoki Abe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Christopher Rytting · David Wingate
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Models for Actionable Recourse
Alexis Ross · Himabindu Lakkaraju · Osbert Bastani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Variational Inference
Heiko Zimmermann · Hao Wu · Babak Esmaeili · Jan-Willem van de Meent
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Zineng Tang · Jaemin Cho · Hao Tan · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis · Dominik Straub · Constantin Rothkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Jiachen Sun · Yulong Cao · Christopher B Choy · Zhiding Yu · Anima Anandkumar · Zhuoqing Morley Mao · Chaowei Xiao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
Yujia Yan · Frank Cwitkowitz · Zhiyao Duan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Measuring Generalization with Optimal Transport
Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher · Andrew Jones · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang · Shenxiao Mei · Alan Yuille · Adam Kortylewski
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo · Hyunwoo Kang · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Feng Liu · Xiaoming Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
Neil Gallagher · Kafui Dzirasa · David Carlson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson · Vidhi Lalchand · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Certified Robust Training with Short Warmup
Zhouxing Shi · Yihan Wang · Huan Zhang · Jinfeng Yi · Cho-Jui Hsieh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan · Xiaolong Ma · Wei Niu · Zhengang Li · Zhenglun Kong · Ning Liu · Yifan Gong · Zheng Zhan · Chaoyang He · Qing Jin · Siyue Wang · Minghai Qin · Bin Ren · Yanzhi Wang · Sijia Liu · Xue Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin Cheng · Shuchin Aeron · Michael Hughes · Eric L Miller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences
Grant Schoenebeck · Biaoshuai Tao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Zhiding Yu · Rui Huang · Wonmin Byeon · Sifei Liu · Guilin Liu · Thomas Breuel · Anima Anandkumar · Jan Kautz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
Brandon McMahan · Michael Kleinman · Jonathan Kao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Offline Policy Selection
Ksenia Konyushova · Yutian Chen · Thomas Paine · Caglar Gulcehre · Cosmin Paduraru · Daniel Mankowitz · Misha Denil · Nando de Freitas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
bailin wang · Mirella Lapata · Ivan Titov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Early Convolutions Help Transformers See Better
Tete Xiao · Mannat Singh · Eric Mintun · Trevor Darrell · Piotr Dollar · Ross Girshick
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim · Heeseung Kwon · CHUNYU WANG · Suha Kwak · Minsu Cho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury · Iro Laina · Christian Rupprecht · Andrea Vedaldi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
David Liu · Mate Lengyel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
Bahram Behzadian · Marek Petrik · Chin Pang Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li · Yufei Guo · Shanghang Zhang · Shikuang Deng · Yongqing Hai · Shi Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
Tianhao Wang · Dongruo Zhou · Quanquan Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
K-level Reasoning for Zero-Shot Coordination in Hanabi
Brandon Cui · Hengyuan Hu · Luis Pineda · Jakob Foerster
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
Jiuxiang Gu · Jason Kuen · Vlad I Morariu · Handong Zhao · Rajiv Jain · Nikolaos Barmpalios · Ani Nenkova · Tong Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Residual Learning in Spiking Neural Networks
Wei Fang · Zhaofei Yu · Yanqi Chen · Tiejun Huang · Timothée Masquelier · Yonghong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Out-of-Distribution Generalization in Kernel Regression
Abdulkadir Canatar · Blake Bordelon · Cengiz Pehlevan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu · Sirui Xie · Xiaojian (Shawn) Ma · Yixin Zhu · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Songyuan Zhang · ZHANGJIE CAO · Dorsa Sadigh · Yanan Sui
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
Runtao Liu · Zhirong Wu · Stella Yu · Stephen Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning with Latent Flow
Wenling Shang · Xiaofei Wang · Aravind Srinivas · Aravind Rajeswaran · Yang Gao · Pieter Abbeel · Misha Laskin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Augmented Shortcuts for Vision Transformers
Yehui Tang · Kai Han · Chang Xu · An Xiao · Yiping Deng · Chao Xu · Yunhe Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin Swezey · Aditya Grover · Bruno Charron · Stefano Ermon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Stateful Strategic Regression
Keegan Harris · Hoda Heidari · Steven Wu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
Huy Tuan Pham · Phan-Minh Nguyen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth · Xinjie Fan · Huangjie Zheng · Shujian Zhang · Hao Zhang · Bo Chen · Mingyuan Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye · Chuanlong Xie · Tianle Cai · Ruichen Li · Zhenguo Li · Liwei Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
Yu Shen · Laura Zheng · Manli Shu · Weizi Li · Tom Goldstein · Ming Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
Sameera Ramasinghe · Moshiur Farazi · Salman H Khan · Nick Barnes · Stephen Gould
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani · Siddharth Karamcheti · Dorsa Sadigh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A mechanistic multi-area recurrent network model of decision-making
Michael Kleinman · Chandramouli Chandrasekaran · Jonathan Kao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
Chengxuan Ying · Tianle Cai · Shengjie Luo · Shuxin Zheng · Guolin Ke · Di He · Yanming Shen · Tie-Yan Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun · Seoyoon Kim · Junhyun Lee · Jaewoo Kang · Hyunwoo Kim
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Under-Coverage Bias in Uncertainty Estimation
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha · beomyoung kim · YoungJoon Yoo · Taesup Moon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Testing Probabilistic Circuits
Yash Pote · Kuldeep S Meel
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun · Alexander Kirillov · Saining Xie
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma · Junwei Deng · Qiaozhu Mei
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng · Huan Yang · Hongyang Chao · Jianbo Wang · Jianlong Fu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen · Huan Wang · Lav Varshney · Caiming Xiong · Richard Socher
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
Haipeng Luo · Chen-Yu Wei · Chung-Wei Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu · Hao Shen · Donglin Wang · Yachen Kang · Qiangxing Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Predicting Event Memorability from Contextual Visual Semantics
Qianli Xu · Fen Fang · Ana Molino · Vigneshwaran Subbaraju · Joo-Hwee Lim
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Variational Model Inversion Attacks
Kuan-Chieh Wang · YAN FU · Ke Li · Ashish Khisti · Richard Zemel · Alireza Makhzani
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Jiaqi Gu · Hanqing Zhu · Chenghao Feng · Zixuan Jiang · Ray Chen · David Pan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia · Vai Suliafu · Hangjie Ji · Tan Nguyen · Andrea Bertozzi · Stanley Osher · Bao Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev · Michal Drozdzal · Graham Taylor · Adriana Romero Soriano
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
Jiawei Zhang · Yushun Zhang · Mingyi Hong · Ruoyu Sun · Zhi-Quan Luo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Escaping Saddle Points with Compressed SGD
Dmitrii Avdiukhin · Grigory Yaroslavtsev
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Variance of the Fisher Information for Deep Learning
Alexander Soen · Ke Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Does Knowledge Distillation Really Work?
Samuel Stanton · Pavel Izmailov · Polina Kirichenko · Alexander Alemi · Andrew Wilson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized Proximal Policy Optimization with Sample Reuse
James Queeney · Yannis Paschalidis · Christos G Cassandras
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee · Nathaniel Trask · Panos Stinis
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao · Qilong Wang · Bingbing Zhang · Qinghua Hu · Peihua Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Sihang Guo · Ruohan Zhang · Bo Liu · Yifeng Zhu · Dana Ballard · Mary Hayhoe · Peter Stone
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bandit Learning with Delayed Impact of Actions
Wei Tang · Chien-Ju Ho · Yang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Robust Bisimulation Metric Learning
Mete Kemertas · Tristan Aumentado-Armstrong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman · Andrew Ilyas · Logan Engstrom · Sai Vemprala · Aleksander Madry · Ashish Kapoor
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Bo Sun · Russell Lee · Mohammad Hajiesmaili · Adam Wierman · Danny Tsang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
HanQin Cai · Jialin Liu · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi · Juheon Lee · Wansoo Kim · Jie Lee · Hoon Heo · Kyogu Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Densely connected normalizing flows
Matej Grcić · Ivan Grubišić · Siniša Šegvić
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang · Guanghui Wang · Wei-Wei Tu · Wei Jiang · Zhi-Hua Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim · Doo Seok Jeong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Relaxing Local Robustness
Klas Leino · Matt Fredrikson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts · Mikhail Khodak · Tri Dao · Liam Li · Christopher Ré · Ameet Talwalkar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Regression Revisited: Acceleration and Improved Estimation Rates
Arun Jambulapati · Jerry Li · Tselil Schramm · Kevin Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Qiujiang Jin · Aryan Mokhtari
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Simulation of Soft Multi-body Systems
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
Alejandro Carderera · Mathieu Besançon · Sebastian Pokutta
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dimensionality Reduction for Wasserstein Barycenter
Zachary Izzo · Sandeep Silwal · Samson Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie · Xiaohang Zhan · Ziwei Liu · Yew Soon Ong · Chen Change Loy
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Value of Infinite Gradients in Variational Autoencoder Models
Bin Dai · Li Wenliang · David Wipf
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi · Gala Stojnic · Brenden Lake · Moira R. Dillon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Revisiting 3D Object Detection From an Egocentric Perspective
Boyang Deng · Charles R Qi · Mahyar Najibi · Thomas Funkhouser · Yin Zhou · Dragomir Anguelov
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Direct Multi-view Multi-person 3D Pose Estimation
tao wang · Jianfeng Zhang · Yujun Cai · Shuicheng Yan · Jiashi Feng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Amortized Variational Inference for Simple Hierarchical Models
Abhinav Agrawal · Justin Domke
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang · Massimiliano Pontil · Carlo Ciliberto
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao · Lei Feng · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin · Qinghua Liu · Sobhan Miryoosefi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata · Siddharth Bhatia · Rui Liu · Mohit Wadhwa · Bryan Hooi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
Xiaolong Li · Yijia Weng · Li Yi · Leonidas Guibas · A. Abbott · Shuran Song · He Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Space Partitions for Path Planning
Kevin Yang · Tianjun Zhang · Chris Cummins · Brandon Cui · Benoit Steiner · Linnan Wang · Joseph Gonzalez · Dan Klein · Yuandong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
Zhenyu Huang · Guocheng Niu · Xiao Liu · Wenbiao Ding · Xinyan Xiao · Hua Wu · Xi Peng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan · Anna Rohrbach · Trevor Darrell
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Zeru Zhang · Jiayin Jin · Zijie Zhang · Yang Zhou · Xin Zhao · Jiaxiang Ren · Ji Liu · Lingfei Wu · Ruoming Jin · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang · Hongrui Liu · Chuan Shi · Cheng Yang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim · Min Whoo Lee · Yoonsung Kim · JeHwan Ryu · Minsu Lee · Byoung-Tak Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li · Shaobo Wang · Quanshi Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reconstruction for Powerful Graph Representations
Leonardo Cotta · Christopher Morris · Bruno Ribeiro
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang · Weixun Wang · Hongyao Tang · Jianye Hao · Zhaopeng Meng · Hangyu Mao · Dong Li · Wulong Liu · Yingfeng Chen · Yujing Hu · Changjie Fan · Chengwei Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning to Elect
Cem Anil · Xuchan Bao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NovelD: A Simple yet Effective Exploration Criterion
Tianjun Zhang · Huazhe Xu · Xiaolong Wang · Yi Wu · Kurt Keutzer · Joseph Gonzalez · Yuandong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
Junjie Ma · Ji Xu · Arian Maleki
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan · Yi.shi Xu · Bo Chen · Dongsheng Wang · Chaojie Wang · Mingyuan Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
Evan McCarty · Qi Zhao · Anastasios Sidiropoulos · Yusu Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu · Xin Tong · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
Yuan Deng · Hanrui Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
argmax centroid
Chengyue Gong · Mao Ye · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu · Quanming Yao · Pan Hui · Yong Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
Nilesh Tripuraneni · Ben Adlam · Jeffrey Pennington
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
The Elastic Lottery Ticket Hypothesis
Xiaohan Chen · Yu Cheng · Shuohang Wang · Zhe Gan · Jingjing Liu · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Omar Khattab · Christopher Potts · Matei Zaharia
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AC-GC: Lossy Activation Compression with Guaranteed Convergence
R David Evans · Tor Aamodt
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spline Approximations
Minsu Cho · Aditya Balu · Ameya Joshi · Anjana Deva Prasad · Biswajit Khara · Soumik Sarkar · Baskar Ganapathysubramanian · Adarsh Krishnamurthy · Chinmay Hegde
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Sicheng Zhu · Bang An · Furong Huang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Novel Upper Bounds for the Constrained Most Probable Explanation Task
Tahrima Rahman · Sara Rouhani · Vibhav Gogate
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun · Tianju Xue · Szymon Rusinkiewicz · Ryan Adams
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Pay Attention to MLPs
Hanxiao Liu · Zihang Dai · David So · Quoc V Le
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Adaptive Denoising via GainTuning
Sreyas Mohan · Joshua L Vincent · Ramon Manzorro · Peter Crozier · Carlos Fernandez-Granda · Eero Simoncelli
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
ZAIXI ZHANG · Qi Liu · Hao Wang · Chengqiang Lu · Chee-Kong Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Equivariant Manifold Flows
Isay Katsman · Aaron Lou · Derek Lim · Qingxuan Jiang · Ser Nam Lim · Christopher De Sa
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iterative Teaching by Label Synthesis
Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen · Vincent J Hellendoorn · Pascal Lamblin · Petros Maniatis · Pierre-Antoine Manzagol · Daniel Tarlow · Subhodeep Moitra
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Multi-Implicit Neural Representation for Fonts
Pradyumna Reddy · Zhifei Zhang · Zhaowen Wang · Matthew Fisher · Hailin Jin · Niloy Mitra
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Model-Based Domain Generalization
Alexander Robey · George J. Pappas · Hamed Hassani
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li · Roman Pogodin · Danica J. Sutherland · Arthur Gretton
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Inverse-Weighted Survival Games
Xintian Han · Mark Goldstein · Aahlad Puli · Thomas Wies · Adler Perotte · Rajesh Ranganath
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
Akash Kumar · Yuxin Chen · Adish Singla
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis · Patroklos Stefanou · Rui Yao · Emmanouil Zampetakis
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Qingzhong Ai · LIRONG HE · SHIYU LIU · Zenglin Xu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Minghao Xu · Meng Qu · Bingbing Ni · Jian Tang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Improved Transformer for High-Resolution GANs
Long Zhao · Zizhao Zhang · Ting Chen · Dimitris Metaxas · Han Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Wenqing Zheng · Qiangqiang Guo · Hao Yang · Peihao Wang · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
Lifeng Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Qi Zhu · Natalia Ponomareva · Jiawei Han · Bryan Perozzi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
Jie Bu · Arka Daw · M. Maruf · Anuj Karpatne
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Weighted model estimation for offline model-based reinforcement learning
Toru Hishinuma · Kei Senda
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu · Carl Yang · Yidan Xu · Haonan Wang · Chao Zhang · Jiawei Han
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
Zihang Meng · Lopamudra Mukherjee · Yichao Wu · Vikas Singh · Sathya Ravi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
No-Press Diplomacy from Scratch
Anton Bakhtin · David Wu · Adam Lerer · Noam Brown
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Chengyue Gong · Xingchao Liu · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang · Chaowei Xiao · Jean Kossaifi · Zhiding Yu · Anima Anandkumar · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
Angela Gao · Jorge Castellanos · Yisong Yue · Zachary Ross · Katherine Bouman
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao · Yu Wang · Ying Wei · Peilin Zhao · Mehrdad Mahdavi · Defu Lian · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang · Huan Zhang · Yuanyuan Shi · J. Zico Kolter · Anima Anandkumar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Cryptographic Hardness of Learning Single Periodic Neurons
Min Jae Song · Ilias Zadik · Joan Bruna
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Lossy Compression for Lossless Prediction
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle · Claudio Mayrink Verdun · Dominik Stöger
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Yusuke Tashiro · Jiaming Song · Yang Song · Stefano Ermon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
MagNet: A Neural Network for Directed Graphs
Xitong Zhang · Yixuan He · Nathan Brugnone · Michael Perlmutter · Matthew Hirn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner · Cong Lu · Michael A Osborne · Yarin Gal · Yee Teh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MADE: Exploration via Maximizing Deviation from Explored Regions
Tianjun Zhang · Paria Rashidinejad · Jiantao Jiao · Yuandong Tian · Joseph Gonzalez · Stuart Russell
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara · Navjot Singh · Deepesh Data · Suhas Diggavi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unifying lower bounds on prediction dimension of convex surrogates
Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
Hengrui Cai · Chengchun Shi · Rui Song · Wenbin Lu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Understanding the Effect of Stochasticity in Policy Optimization
Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung Phung · Trung Le · Tung-Long Vuong · Toan Tran · Anh Tran · Hung Bui · Dinh Phung
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang · Shiyu Chang · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald · Dominic Zhao · Seijin Kobayashi · Simon Schug · Massimo Caccia · Nicolas Zucchet · João Sacramento
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Scheduling jobs with stochastic holding costs
Dabeen Lee · Milan Vojnovic
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
Jiashun Wang · Huazhe Xu · Medhini Narasimhan · Xiaolong Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Excess Capacity and Backdoor Poisoning
Naren Manoj · Avrim Blum
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio · Moksh Jain · Maksym Korablyov · Doina Precup · Yoshua Bengio
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo · Xiaolin Wu · Yanhui Guo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer · Dominique Beaini · Will Hamilton · Vincent Létourneau · Prudencio Tossou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal · Javier Duarte · Hao Su · Breno Orzari · Thiago Tomei · Maurizio Pierini · Mary Touranakou · jean-roch vlimant · Dimitrios Gunopulos
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer · JB Lanier · Kevin A Wang · Pierre Baldi · Roy Fox
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Faster Matchings via Learned Duals
Michael Dinitz · Sungjin Im · Thomas Lavastida · Benjamin Moseley · Sergei Vassilvitskii
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models
Yi Sui · Ga Wu · Scott Sanner
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Regime Switching Bandits
Xiang Zhou · Yi Xiong · Ningyuan Chen · Xuefeng GAO
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang · Hua Wang · Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Hongxin Wei · Lue Tao · RENCHUNZI XIE · Bo An
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning and Generalization in RNNs
Abhishek Panigrahi · Navin Goyal
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding How Encoder-Decoder Architectures Attend
Kyle Aitken · Vinay Ramasesh · Yuan Cao · Niru Maheswaranathan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen · Wei-Lun Chao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Biologically Plausible Convolutional Networks
Roman Pogodin · Yash Mehta · Timothy Lillicrap · Peter E Latham
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Bowen Zhang · Yifan liu · Zhi Tian · Chunhua Shen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning State Representations from Random Deep Action-conditional Predictions
Zeyu Zheng · Vivek Veeriah · Risto Vuorio · Richard L Lewis · Satinder Singh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan · David Sussillo · Luke Metz · Ruoxi Sun · Jascha Sohl-Dickstein
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying · Kun Yuan · Yiming Chen · Hanbin Hu · PAN PAN · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang · Mert Gurbuzbalaban · Lingjiong Zhu · Umut Simsekli · Murat Erdogdu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
Piotr Indyk · Tal Wagner · David Woodruff
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard · Jerry Li · Kevin Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang · Yisen Wang · Sarah Erfani · Quanquan Gu · James Bailey · Xingjun Ma
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin · Yi Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Auction Design in the Auto-bidding World
Santiago Balseiro · Yuan Deng · Jieming Mao · Vahab Mirrokni · Song Zuo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang · zhongyu wei · Jianqing Fan · Jiajie Peng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi · Gregory Benton · Andrew Wilson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Normalization and Relay for Video Action Recognition
Dongqi Cai · Anbang Yao · Yurong Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren · Jialian Li · Bo Dai · Simon Du · Sujay Sanghavi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
Terrell Mundhenk · Mikel Landajuela · Ruben Glatt · Claudio P Santiago · Daniel faissol · Brenden K Petersen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Hiroki Furuta · Tadashi Kozuno · Tatsuya Matsushima · Yutaka Matsuo · Shixiang (Shane) Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Forensic Dental Identification with Deep Learning
Yuan Liang · Weikun Han · Liang Qiu · Chen Wu · Yiting Shao · Kun Wang · Lei He
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
Tan Nguyen · Vai Suliafu · Stanley Osher · Long Chen · Bao Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized DataWeighting via Class-Level Gradient Manipulation
Can Chen · Shuhao Zheng · Xi Chen · Erqun Dong · Xue (Steve) Liu · Hao Liu · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang · Han Zhao · Yaoliang Yu · Pascal Poupart
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Fine-grained Generalization Analysis of Inductive Matrix Completion
Antoine Ledent · Rodrigo Alves · Yunwen Lei · Marius Kloft
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Diffusion Normalizing Flow
Qinsheng Zhang · Yongxin Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Representation Learning on Spatial Networks
Zheng Zhang · Liang Zhao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Supervised Multi-Object Tracking with Cross-input Consistency
Favyen Bastani · Songtao He · Samuel Madden
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
Tobia Boschi · Matthew Reimherr · Francesca Chiaromonte
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
Guiliang Liu · Xiangyu Sun · Oliver Schulte · Pascal Poupart
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang · Bo Dai · Wayne Wu · Chen Change Loy
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu · Kenji Kawaguchi · Bryan Hooi · Yiwei Wang · Xiaokui Xiao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu · Yuntian Deng · Alexander Rush
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Modified Frank Wolfe in Probability Space
Carson Kent · Jiajin Li · Jose Blanchet · Peter W Glynn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah · Tom Zahavy · Matteo Hessel · Zhongwen Xu · Junhyuk Oh · Iurii Kemaev · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Ge Yang · Edward Hu · Igor Babuschkin · Szymon Sidor · Xiaodong Liu · David Farhi · Nick Ryder · Jakub Pachocki · Weizhu Chen · Jianfeng Gao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasiia Koloskova · Tao Lin · Sebastian Stich
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Jinhee Lee · Haeri Kim · Youngkyu Hong · Hye Won Chung
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
Xinmeng Huang · Kun Yuan · Xianghui Mao · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Taxonomizing local versus global structure in neural network loss landscapes
Yaoqing Yang · Liam Hodgkinson · Ryan Theisen · Joe Zou · Joseph Gonzalez · Kannan Ramchandran · Michael Mahoney
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
Wenhan Xian · Feihu Huang · Yanfu Zhang · Heng Huang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MOMA: Multi-Object Multi-Actor Activity Parsing
Zelun Luo · Wanze Xie · Siddharth Kapoor · Yiyun Liang · Michael Cooper · Juan Carlos Niebles · Ehsan Adeli · Fei-Fei Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Provably efficient multi-task reinforcement learning with model transfer
Chicheng Zhang · Zhi Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unfolding Taylor's Approximations for Image Restoration
man zhou · Xueyang Fu · Zeyu Xiao · Gang Yang · Aiping Liu · Zhiwei Xiong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alignment Attention by Matching Key and Query Distributions
Shujian Zhang · Xinjie Fan · Huangjie Zheng · Korawat Tanwisuth · Mingyuan Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Examples in Multi-Layer Random ReLU Networks
Peter Bartlett · Sebastien Bubeck · Yeshwanth Cherapanamjeri
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Regularized Softmax Deep Multi-Agent Q-Learning
Ling Pan · Tabish Rashid · Bei Peng · Longbo Huang · Shimon Whiteson
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Handling Long-tailed Feature Distribution in AdderNets
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Mingcong Liu · Qiang Li · Zekui Qin · Guoxin Zhang · Pengfei Wan · Wen Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen · Bo Ji · Tianyu Ding · Biyi Fang · Guanyi Wang · Zhihui Zhu · Luming Liang · Yixin Shi · Sheng Yi · Xiao Tu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu · Jiandong Ding · Lu Zhang · Shuigeng Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
Hang Xu · Kelly Kostopoulou · Aritra Dutta · Xin Li · Alexandros Ntoulas · Panos Kalnis
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Do Input Gradients Highlight Discriminative Features?
Harshay Shah · Prateek Jain · Praneeth Netrapalli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
Gadi Naveh · Zohar Ringel
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Collaborative Policies to Solve NP-hard Routing Problems
Minsu Kim · Jinkyoo Park · joungho kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
YU LI · Min LI · Qiuxia LAI · Yannan Liu · Qiang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao · Wenliang Zhao · Benlin Liu · Jiwen Lu · Jie Zhou · Cho-Jui Hsieh
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to dehaze with polarization
Chu Zhou · Minggui Teng · Yufei Han · Chao Xu · Boxin Shi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Training Neural Networks is ER-complete
Mikkel Abrahamsen · Linda Kleist · Tillmann Miltzow
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Optimizing Conditional Value-At-Risk of Black-Box Functions
Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Relative Uncertainty Learning for Facial Expression Recognition
Yuhang Zhang · Chengrui Wang · Weihong Deng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Zhu Zhang · Jianxin Ma · Chang Zhou · Rui Men · Zhikang Li · Ming Ding · Jie Tang · Jingren Zhou · Hongxia Yang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Debiased Visual Question Answering from Feature and Sample Perspectives
Zhiquan Wen · Guanghui Xu · Mingkui Tan · Qingyao Wu · Qi Wu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Shinji Ito
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
Keunseo Kim · JunCheol Shin · Heeyoung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mastering Atari Games with Limited Data
Weirui Ye · Shaohuai Liu · Thanard Kurutach · Pieter Abbeel · Yang Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Lorenzo Noci · Kevin Roth · Gregor Bachmann · Sebastian Nowozin · Thomas Hofmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Loss function based second-order Jensen inequality and its application to particle variational inference
Futoshi Futami · Tomoharu Iwata · naonori ueda · Issei Sato · Masashi Sugiyama
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li · Ramprasaath Selvaraju · Akhilesh Gotmare · Shafiq Joty · Caiming Xiong · Steven Chu Hong Hoi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang · Hui Wu · Min Wang · Wengang Zhou · Houqiang Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Modality-Agnostic Topology Aware Localization
Farhad Ghazvinian Zanjani · Ilia Karmanov · Hanno Ackermann · Daniel Dijkman · Simone Merlin · Max Welling · Fatih Porikli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
JAEHOON LEE · Jihyeon Hyeong · Jinsung Jeon · Noseong Park · Jihoon Cho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multi-View Representation Learning via Total Correlation Objective
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li · Tonghan Wang · Chengjie Wu · Qianchuan Zhao · Jun Yang · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive Online Packing-guided Search for POMDPs
Chenyang Wu · Guoyu Yang · Zongzhang Zhang · Yang Yu · Dong Li · Wulong Liu · Jianye Hao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Debiased and Disentangled Representations for Semantic Segmentation
Sanghyeok Chu · Dongwan Kim · Bohyung Han
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Global Filter Networks for Image Classification
Yongming Rao · Wenliang Zhao · Zheng Zhu · Jiwen Lu · Jie Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Yuhui Quan · Zicong Wu · Hui Ji
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AFEC: Active Forgetting of Negative Transfer in Continual Learning
Liyuan Wang · Mingtian Zhang · Zhongfan Jia · Qian Li · Chenglong Bao · Kaisheng Ma · Jun Zhu · Yi Zhong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
Ziming Zhang · Yun Yue · Guojun Wu · Yanhua Li · Haichong Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Jack Parker-Holder · Vu Nguyen · Shaan Desai · Stephen J Roberts
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Object Detectors with Feature Richness
Du Zhixing · Rui Zhang · Ming Chang · xishan zhang · Shaoli Liu · Tianshi Chen · Yunji Chen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang · Bencheng Liao · Xinggang Wang · Jiemin Fang · Jiyang Qi · Rui Wu · Jianwei Niu · Wenyu Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang · Yue Liao · Si Liu · Miao Lu · Yongliang Wang · Chen Gao · XIAOBO LI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
Amrutha Saseendran · Kathrin Skubch · Stefan Falkner · Margret Keuper
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Video Instance Segmentation using Inter-Frame Communication Transformers
Sukjun Hwang · Miran Heo · Seoung Wug Oh · Seon Joo Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty Quantification and Deep Ensembles
Rahul Rahaman · alexandre thiery
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RelaySum for Decentralized Deep Learning on Heterogeneous Data
Thijs Vogels · Lie He · Anastasiia Koloskova · Sai Praneeth Karimireddy · Tao Lin · Sebastian Stich · Martin Jaggi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang · Yexin Wang · Zhenbang You · Meng Cao · Ping Huang · Jiulong Shan · Zhi Yang · Bin CUI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
Zhi Zhou · Lan-Zhe Guo · Zhanzhan Cheng · Yu-Feng Li · Shiliang Pu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Learning Of Neural Computations From Sparse Temporal Feedback
Lukas Braun · Tim Vogels
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Joy Hsu · Jeffrey Gu · Gong Wu · Wah Chiu · Serena Yeung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Accurately Solving Rod Dynamics with Graph Learning
Han Shao · Tassilo Kugelstadt · Torsten Hädrich · Wojtek Palubicki · Jan Bender · Soeren Pirk · Dominik L Michels
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao · Jiaqi Wang · Ying Jin · Tong Wu · Kai Chen · Ziwei Liu · Dahua Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal · Assaf Hallak · Steven Dalton · iuri frosio · Shie Mannor · Gal Chechik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
VAST: Value Function Factorization with Variable Agent Sub-Teams
Thomy Phan · Fabian Ritz · Lenz Belzner · Philipp Altmann · Thomas Gabor · Claudia Linnhoff-Popien
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Chen Zhang · Shifeng Zhang · Fabio Maria Carlucci · Zhenguo Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Julien Grand-Clément · Christian Kroer
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang · Xiaojiang Yang · Jirui Yang · Qi Ming · Wentao Wang · Qi Tian · Junchi Yan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
Jiangyuan Li · Thanh Nguyen · Chinmay Hegde · Raymond K. W. Wong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
3D Pose Transfer with Correspondence Learning and Mesh Refinement
Chaoyue Song · Jiacheng Wei · Ruibo Li · Fayao Liu · Guosheng Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos · Pawel Korus · Nasir Memon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le · Huy Nguyen · Quang M Nguyen · Tung Pham · Hung Bui · Nhat Ho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang · Mingyu Yang · Zeang Sheng · Yang Li · Wen Ouyang · Yangyu Tao · Zhi Yang · Bin CUI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Universal Semi-Supervised Learning
Zhuo Huang · Chao Xue · Bo Han · Jian Yang · Chen Gong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui · Toan Tran · Anh Tran · Dinh Phung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Yan Liu · Zhijie Zhang · Li Niu · Junjie Chen · Liqing Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
Yichong Leng · Xu Tan · Linchen Zhu · Jin Xu · Renqian Luo · Linquan Liu · Tao Qin · Xiangyang Li · Edward Lin · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
Dachao Lin · Haishan Ye · Zhihua Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Riemannian metric for disease progression modeling
Samuel Gruffaz · Pierre-Emmanuel Poulet · Etienne Maheux · Bruno Jedynak · Stanley DURRLEMAN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Learning Under Triage
Nastaran Okati · Abir De · Manuel Rodriguez
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Probabilistic Margins for Instance Reweighting in Adversarial Training
qizhou wang · Feng Liu · Bo Han · Tongliang Liu · Chen Gong · Gang Niu · Mingyuan Zhou · Masashi Sugiyama
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang · Zheng Liu · Shitao Xiao · Chaozhuo Li · Defu Lian · Sanjay Agrawal · Amit Singh · Guangzhong Sun · Xing Xie
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
The Image Local Autoregressive Transformer
Chenjie Cao · Yuxin Hong · Xiang Li · Chengrong Wang · Chengming Xu · Yanwei Fu · Xiangyang Xue
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Minchao Wu · Michael Norrish · Christian Walder · Amir Dezfouli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Searching Parameterized AP Loss for Object Detection
Tao Chenxin · Zizhang Li · Xizhou Zhu · Gao Huang · Yong Liu · jifeng dai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Graph Adversarial Self-Supervised Learning
Longqi Yang · Liangliang Zhang · Wenjing Yang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta · Andrei Nicolicioiu · Marius Leordeanu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans · Matilde Tristany Farinha · Javier Garcia Ordonez · Pau Vilimelis Aceituno · João Sacramento · Benjamin F. Grewe
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
Giora Simchoni · Saharon Rosset
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Yoon-Yeong Kim · Kyungwoo Song · JoonHo Jang · Il-chul Moon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
Zeng Yihan · Chunwei Wang · Yunbo Wang · Hang Xu · Chaoqiang Ye · Zhen Yang · Chao Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neighborhood Reconstructing Autoencoders
Yonghyeon LEE · Hyeokjun Kwon · Frank Park
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Variational Filtering and Parameter Learning
Andrew Campbell · Yuyang Shi · Thomas Rainforth · Arnaud Doucet
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park · Younggyo Seo · Chang Liu · Li Zhao · Tao Qin · Jinwoo Shin · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Daiki Chijiwa · Shin'ya Yamaguchi · Yasutoshi Ida · Kenji Umakoshi · Tomohiro INOUE
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
Hiroaki Yamada · Makoto Yamada
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet · Subhroshekhar Ghosh · Meixia LIN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
Xingsi Dong · Tianhao Chu · Tiejun Huang · Zilong Ji · Si Wu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Credal Self-Supervised Learning
Julian Lienen · Eyke Hüllermeier
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Mathieu Even · Raphaël Berthier · Francis Bach · Nicolas Flammarion · Hadrien Hendrikx · Pierre Gaillard · Laurent Massoulié · Adrien Taylor
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Rule-Based Representation Learning for Interpretable Classification
Zhuo Wang · Wei Zhang · Ning Liu · Jianyong Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Posterior Meta-Replay for Continual Learning
Christian Henning · Maria Cervera · Francesco D'Angelo · Johannes von Oswald · Regina Traber · Benjamin Ehret · Seijin Kobayashi · Benjamin F. Grewe · João Sacramento
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan · Maxim Raginsky · Greg Ver Steeg · Aram Galstyan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
Jie Ren · Die Zhang · Yisen Wang · Lu Chen · Zhanpeng Zhou · Yiting Chen · Xu Cheng · Xin Wang · Meng Zhou · Jie Shi · Quanshi Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee · Jihoon Tack · Namhoon Lee · Jinwoo Shin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Andi Han · Bamdev Mishra · Pratik Kumar Jawanpuria · Junbin Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
Zhenghao Peng · Quanyi Li · Ka Ming Hui · Chunxiao Liu · Bolei Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Dubber: Dubbing for Videos According to Scripts
Chenxu Hu · Qiao Tian · Tingle Li · Wang Yuping · Yuxuan Wang · Hang Zhao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang · Yang Song · Qinxu Ding · Wee Peng Tay
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li · Gim Hee Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Diverse Policies in MOBA Games via Macro-Goals
Yiming Gao · Bei Shi · Xueying Du · Liang Wang · Guangwei Chen · Zhenjie Lian · Fuhao Qiu · GUOAN HAN · Weixuan Wang · Deheng Ye · Qiang Fu · Wei Yang · Lanxiao Huang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Control Variates for Slate Off-Policy Evaluation
Nikos Vlassis · Ashok Chandrashekar · Fernando Amat · Nathan Kallus
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Two steps to risk sensitivity
Christopher Gagne · Peter Dayan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
Hee Min Choi · Hyoa Kang · Dokwan Oh
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rate-Optimal Subspace Estimation on Random Graphs
Zhixin Zhou · Fan Zhou · Ping Li · Cun-Hui Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Teacher-Student Representation Learning for Domain Generalization
Fu-En Yang · Yuan-Chia Cheng · Zu-Yun Shiau · Frank Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk · Michał Zając · Razvan Pascanu · Łukasz Kuciński · Piotr Miłoś
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Predicting Molecular Conformation via Dynamic Graph Score Matching
Shitong Luo · Chence Shi · Minkai Xu · Jian Tang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup · Lars N Andersen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Joint Learning for Solving Placement and Routing in Chip Design
Ruoyu Cheng · Junchi Yan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On the Convergence of Step Decay Step-Size for Stochastic Optimization
Xiaoyu Wang · Sindri Magnússon · Mikael Johansson
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
Yang Zhang · Bo Tang · Qingyu Yang · Dou An · Hongyin Tang · Chenyang Xi · Xueying LI · Feiyu Xiong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Nonparametric Volterra Kernels with Gaussian Processes
Magnus Ross · Michael T Smith · Mauricio Álvarez
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Coordinated Proximal Policy Optimization
Zifan Wu · Chao Yu · Deheng Ye · Junge Zhang · haiyin piao · Hankz Hankui Zhuo
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Pareto Domain Adaptation
fangrui lv · Jian Liang · Kaixiong Gong · Shuang Li · Chi Harold Liu · Han Li · Di Liu · Guoren Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim · Byung-Kwan Lee · Yong Man Ro
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient Equivariant Network
Lingshen He · Yuxuan Chen · zhengyang shen · Yiming Dong · Yisen Wang · Zhouchen Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Jianhao Wang · Zhizhou Ren · Beining Han · Jianing Ye · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Reinforcement Learning with Regret Bounds
Brendan O'Donoghue
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin · Neil Houlsby · Alexander Kolesnikov · Lucas Beyer · Xiaohua Zhai · Thomas Unterthiner · Jessica Yung · Andreas Steiner · Daniel Keysers · Jakob Uszkoreit · Mario Lucic · Alexey Dosovitskiy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo · Jiaqi Guan · Jianzhu Ma · Jian Peng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Sandesh Ghimire · Aria Masoomi · Jennifer Dy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Parametrized Quantum Policies for Reinforcement Learning
Sofiene Jerbi · Casper Gyurik · Simon Marshall · Hans Briegel · Vedran Dunjko
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
Haixiang Zhang · Yingjie Bi · Javad Lavaei
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
Laetitia Chapel · Rémi Flamary · Haoran Wu · Cédric Févotte · Gilles Gasso
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Zaixiang Zheng · Hao Zhou · Shujian Huang · Jiajun Chen · Jingjing Xu · Lei Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Smooth Bilevel Programming for Sparse Regularization
Clarice Poon · Gabriel Peyré
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee · Seungjae Shin · Heeyoung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang · Yidong Wang · Wenxin Hou · HAO WU · Jindong Wang · Manabu Okumura · Takahiro Shinozaki
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard · Eric Guillaume VIDOT · Amaury Habrard · Emilie Morvant
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbin Xie · Xintao Wang · Chao Dong · Zhongang Qi · Ying Shan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
No-regret Online Learning over Riemannian Manifolds
Xi Wang · Zhipeng Tu · Yiguang Hong · Yingyi Wu · Guodong Shi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen · Qihan Ren · Dongrui Liu · Quanshi Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand · Amir Joudaki · Francis Bach
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhili Wang · Shimin DI · Lei Chen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Weak-shot Fine-grained Classification via Similarity Transfer
Junjie Chen · Li Niu · Liu Liu · Liqing Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Chen Zhu · Renkun Ni · Zheng Xu · Kezhi Kong · W. Ronny Huang · Tom Goldstein
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger · James Foster · Xuechen (Chen) Li · Terry Lyons
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dual-stream Network for Visual Recognition
Mingyuan Mao · peng gao · Renrui Zhang · Honghui Zheng · Teli Ma · Yan Peng · Errui Ding · Baochang Zhang · Shumin Han
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Niv Giladi · Zvika Ben-Haim · Sella Nevo · Yossi Matias · Daniel Soudry
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen · Colin Wei · Adrien Gaidon · Tengyu Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Paul-Ambroise Duquenne · Hongyu Gong · Holger Schwenk
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
Stephen Chung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Christian Gumbsch · Martin V. Butz · Georg Martius
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi · James Henderson · Sebastian Ruder
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang · Ya-Li Li · Ye Guo · Shengjin Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma · Jingwen Li · Zhiguang Cao · Wen Song · Le Zhang · Zhenghua Chen · Jing Tang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Theo Bodrito · Alexandre Zouaoui · Jocelyn Chanussot · Julien Mairal
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng · Tomoyuki Obuchi · Yoshiyuki Kabashima
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert · Pasquale Minervini · Luca Franceschi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic
Atsushi Suzuki · Atsushi Nitanda · jing wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
Guoqiang Wu · Chongxuan LI · Kun Xu · Jun Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang · Pan Li · Yinglong Xia · Kai Wang · Long Jin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
Hao Yu · Fu Li · Mahdi Saleh · Benjamin Busam · Slobodan Ilic
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
Shinsaku Sakaue · Kengo Nakamura
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
Dongkai Wang · Shiliang Zhang · Gang Hua
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A/B/n Testing with Control in the Presence of Subpopulations
Yoan Russac · Christina Katsimerou · Dennis Bohle · Olivier Cappé · Aurélien Garivier · Wouter Koolen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Set Prediction in the Latent Space
Konpat Preechakul · Chawan Piansaddhayanon · Burin Naowarat · Tirasan Khandhawit · Sira Sriswasdi · Ekapol Chuangsuwanich
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
A Framework to Learn with Interpretation
Jayneel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc
[ Slides
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Structured Dropout Variational Inference for Bayesian Neural Networks
Son Nguyen · Duong Nguyen · Khai Nguyen · Khoat Than · Hung Bui · Nhat Ho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Tracking People with 3D Representations
Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Jitendra Malik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Guanlin Liu · Lifeng LAI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg · Shuvam Chakraborty · Chris Cundy · Jiaming Song · Stefano Ermon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DualNet: Continual Learning, Fast and Slow
Quang Pham · Chenghao Liu · Steven Hoi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Fast Axiomatic Attribution for Neural Networks
Robin Hesse · Simone Schaub-Meyer · Stefan Roth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin · José Miguel Hernández-Lobato · Yarin Gal
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Synthesis of Program Architectures
Guofeng Cui · He Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Transformer in Transformer
Kai Han · An Xiao · Enhua Wu · Jianyuan Guo · Chunjing XU · Yunhe Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Interpolation in Linear Regression
Eduard Oravkin · Patrick Rebeschini
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
Xinyi Tong · Xiangxiang Xu · Shao-Lun Huang · Lizhong Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
NA DONG · Yongqiang Zhang · Mingli Ding · Gim Hee Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
Qitian Wu · Rui Gao · Hongyuan Zha
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang · Bryan Hooi · Dapeng Hu · Jian Liang · Jiashi Feng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
Francois Bachoc · Tom Cesari · Sébastien Gerchinovitz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
Aston Zhang · Yi Tay · Yikang Shen · Alvin Chan · SHUAI ZHANG
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Awais Muhammad · Fengwei Zhou · Chuanlong Xie · Jiawei Li · Sung-Ho Bae · Zhenguo Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data
Dachao Lin · Ruoyu Sun · Zhihua Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
When Is Unsupervised Disentanglement Possible?
Daniella Horan · Eitan Richardson · Yair Weiss
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Quentin Mérigot · Filippo Santambrogio · Clément SARRAZIN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
Mohammadamin Banayeeanzade · Rasoul Mirzaiezadeh · Hosein Hasani · Mahdieh Soleymani
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El Mahdi El-Mhamdi · Sadegh Farhadkhani · Rachid Guerraoui · Arsany Guirguis · Lê-Nguyên Hoang · Sébastien Rouault
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Image Classifiers in Object Detectors
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang · Chao Xu · Jian Li · Wenzhou Chen · Yabiao Wang · Ying Tai · Shuo Chen · Chengjie Wang · Feiyue Huang · Yong Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Taiji Suzuki · Atsushi Nitanda
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
Ingmar Schubert · Danny Driess · Ozgur S. Oguz · Marc Toussaint
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
Shengjie Luo · Shanda Li · Tianle Cai · Di He · Dinglan Peng · Shuxin Zheng · Guolin Ke · Liwei Wang · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Word2Fun: Modelling Words as Functions for Diachronic Word Representation
Benyou Wang · Emanuele Di Buccio · Massimo Melucci
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Abductive Learning by Similarity-based Consistency Optimization
Yu-Xuan Huang · Wang-Zhou Dai · Le-Wen Cai · Stephen H Muggleton · Yuan Jiang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements
Kimon Antonakopoulos · Panayotis Mertikopoulos
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
Keji He · Yan Huang · Qi Wu · Jianhua Yang · Dong An · Shuanglin Sima · Liang Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BooVAE: Boosting Approach for Continual Learning of VAE
Evgenii Egorov · Anna Kuzina · Evgeny Burnaev
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Navigating to the Best Policy in Markov Decision Processes
Aymen Al Marjani · Aurélien Garivier · Alexandre Proutiere
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding · Liwei Jiang · Yudong Chen · Qing Qu · Zhihui Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Topology-Imbalance Learning for Semi-Supervised Node Classification
Deli Chen · Yankai Lin · Guangxiang Zhao · Xuancheng Ren · Peng Li · Jie Zhou · Xu Sun
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
Florian Bernard · Daniel Cremers · Johan Thunberg
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao · Kristopher Jensen · Gido van de Ven · Alberto Bernacchia · Guillaume Hennequin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
Yi Ma · Xiaotian Hao · Jianye Hao · Jiawen Lu · Xing Liu · Tong Xialiang · Mingxuan Yuan · Zhigang Li · Jie Tang · Zhaopeng Meng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
shuwen yang · Ziyao Li · Guojie Song · Lingsheng Cai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Convex Polytope Trees
Mohammadreza Armandpour · Ali Sadeghian · Mingyuan Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen · Chang Xu · Minjing Dong · Chunjing XU · Yunhe Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Convex-Concave Min-Max Stackelberg Games
Denizalp Goktas · Amy Greenwald
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
Sungyoon Lee · Woojin Lee · Jinseong Park · Jaewook Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Post-Training Quantization for Vision Transformer
Zhenhua Liu · Yunhe Wang · Kai Han · Wei Zhang · Siwei Ma · Wen Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinshuai Dong · Anh Tuan Luu · Min Lin · Shuicheng Yan · Hanwang Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Atara Kaplan · Dan Garber
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang · Yujun Shen · Yinghao Xu · Bolei Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Towards Stable and Robust AdderNets
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
Yining Hong · Li Yi · Josh Tenenbaum · Antonio Torralba · Chuang Gan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
Jiehong Lin · Hongyang Li · Ke Chen · Jiangbo Lu · Kui Jia
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
Yong Sheng Soh · Antonios Varvitsiotis
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Fang Kong · Yueran Yang · Wei Chen · Shuai Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
Kimon Antonakopoulos · Thomas Pethick · Ali Kavis · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu · Enver Sangineto · Wei Bi · Nicu Sebe · Bruno Lepri · Marco Nadai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neural Relightable Participating Media Rendering
Quan Zheng · Gurprit Singh · Hans-peter Seidel
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider · Benjamin Ellenberger · Laura Kriener · Jakob Jordan · Walter Senn · Mihai A. Petrovici
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke · Xia Li · Martin Danelljan · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Production Systems
Anirudh Goyal · Aniket Didolkar · Nan Rosemary Ke · Charles Blundell · Philippe Beaudoin · Nicolas Heess · Michael Mozer · Yoshua Bengio
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian · William Zame · Lucas Fleuren · Paul Elbers · Mihaela van der Schaar
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu · Karteek Alahari
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Amir Hertz · Or Perel · Raja Giryes · Olga Sorkine-hornung · Daniel Cohen-or
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
VoiceMixer: Adversarial Voice Style Mixup
Sang-Hoon Lee · Ji-Hoon Kim · Hyunseung Chung · Seong-Whan Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering
Weijiang Yu · Haoteng Zheng · Mengfei Li · Lei Ji · Lijun Wu · Nong Xiao · Nan Duan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara · Hoang NT
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeonjin Park · Seunghun Lee · Sihyeon Kim · Jinyoung Park · Jisu Jeong · Kyung-Min Kim · Jung-Woo Ha · Hyunwoo Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Image Generation using Continuous Filter Atoms
Ze Wang · Seunghyun Hwang · Zichen Miao · Qiang Qiu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Recognizing Vector Graphics without Rasterization
XINYANG JIANG · LU LIU · Caihua Shan · Yifei Shen · Xuanyi Dong · Dongsheng Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Sheng Wan · Yibing Zhan · Liu Liu · Baosheng Yu · Shirui Pan · Chen Gong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Routing by Memory
Kaipeng Zhang · Zhenqiang Li · Zhifeng Li · Wei Liu · Yoichi Sato
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Tao Sheng · Jie Chen · Zhouhui Lian
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving Deep Learning Interpretability by Saliency Guided Training
Aya Abdelsalam Ismail · Hector Corrada Bravo · Soheil Feizi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo DENG · Guangyong Chen · Jianye Hao · Qiong Wang · Pheng-Ann Heng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
Xiao Lv · Wei Cui · Yulong Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Garment4D: Garment Reconstruction from Point Cloud Sequences
Fangzhou Hong · Liang Pan · Zhongang Cai · Ziwei Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Supervised GANs with Label Augmentation
Liang Hou · Huawei Shen · Qi Cao · Xueqi Cheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Conjoint Attentions for Graph Neural Nets
Tiantian He · Yew Soon Ong · L Bai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
Haiyan Yin · peng yang · Ping Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi · Naoki Marumo · Hideaki Kim · Takeshi Kurashima · Hiroyuki Toda
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
What Matters for Adversarial Imitation Learning?
Manu Orsini · Anton Raichuk · Leonard Hussenot · Damien Vincent · Robert Dadashi · Sertan Girgin · Matthieu Geist · Olivier Bachem · Olivier Pietquin · Marcin Andrychowicz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
Qi Chen · Sourabh Vora · Oscar Beijbom
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Tong Wu · Liang Pan · Junzhe Zhang · Tai WANG · Ziwei Liu · Dahua Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen · Bing Zhao · Haidong Wang · Mingqin Li · Chuanjie Liu · Zengzhong Li · Mao Yang · Jingdong Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
Yiyue Qian · Yiming Zhang · Yanfang (Fa Ye · Chuxu Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schürholt · Dimche Kostadinov · Damian Borth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Luca Viano · Yu-Ting Huang · Parameswaran Kamalaruban · Adrian Weller · Volkan Cevher
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang Liu · Xinwei Sun · Jindong Wang · Haoyue Tang · Tao Li · Tao Qin · Wei Chen · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Iterative Teacher-Aware Learning
Luyao Yuan · Dongruo Zhou · Junhong Shen · Jingdong Gao · Jeffrey L Chen · Quanquan Gu · Ying Nian Wu · Song-Chun Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Policy Learning Using Weak Supervision
Jingkang Wang · Hongyi Guo · Zhaowei Zhu · Yang Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang · Weikai Chen · jie Yang · Bo Wang · Songrun Liu · Bo Yang · Lin Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty · Xujiang Zhao · Feng Chen · Rishabh Iyer
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Grained Encoder for Vision Transformers
Lin Song · Songyang Zhang · Songtao Liu · Zeming Li · Xuming He · Hongbin Sun · Jian Sun · Nanning Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contrastive Laplacian Eigenmaps
Hao Zhu · Ke Sun · Peter Koniusz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alias-Free Generative Adversarial Networks
Tero Karras · Miika Aittala · Samuli Laine · Erik Härkönen · Janne Hellsten · Jaakko Lehtinen · Timo Aila
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
Dmitry Kovalev · Elnur Gasanov · Alexander Gasnikov · Peter Richtarik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang · Peizhen Zhang · Xiangyu Zhang · Jian Sun · Nanning Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Partial Label Learning
Ning Xu · Congyu Qiao · Xin Geng · Min-Ling Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Yulun Zhang · Hanspeter Pfister · Donglai Wei
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Adversarial Perturbations
Krishna kanth Nakka · Mathieu Salzmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Safe Reinforcement Learning by Imagining the Near Future
Garrett Thomas · Yuping Luo · Tengyu Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Chongjian GE · Youwei Liang · YIBING SONG · Jianbo Jiao · Jue Wang · Ping Luo
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
Xudong XU · Xingang Pan · Dahua Lin · Bo Dai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R Ivanova · Adam Foster · Steven Kleinegesse · Michael Gutmann · Thomas Rainforth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang · Wenzhe Li · Haozhe Jiang · Guangxiang Zhu · Siyuan Li · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang · Rui Huang · Shiji Song · Zeyi Huang · Gao Huang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
K-Net: Towards Unified Image Segmentation
Wenwei Zhang · Jiangmiao Pang · Kai Chen · Chen Change Loy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FINE Samples for Learning with Noisy Labels
Taehyeon Kim · Jongwoo Ko · sangwook Cho · JinHwan Choi · Se-Young Yun
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Denys Rozumnyi · Martin R. Oswald · Vittorio Ferrari · Marc Pollefeys
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learnability of Linear Thresholds from Label Proportions
Rishi Saket
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
All Tokens Matter: Token Labeling for Training Better Vision Transformers
Zi-Hang Jiang · Qibin Hou · Li Yuan · Daquan Zhou · Yujun Shi · Xiaojie Jin · Anran Wang · Jiashi Feng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Action-guided 3D Human Motion Prediction
Jiangxin Sun · Zihang Lin · Xintong Han · Jian-Fang Hu · Jia Xu · Wei-Shi Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
Aming WU · Suqi Zhao · Cheng Deng · Wei Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Nurendra Choudhary · Nikhil Rao · Sumeet Katariya · Karthik Subbian · Chandan Reddy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
Hugo Cui · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
Xin Zhang · Zhuqing Liu · Jia Liu · Zhengyuan Zhu · Songtao Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Generalization Bounds for (Wasserstein) Robust Optimization
Yang An · Rui Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang · Jeevana Priya Inala · Osbert Bastani · Yewen Pu · Armando Solar-Lezama · Martin Rinard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li · Shunli Ren · Pengxiang Wu · Siheng Chen · Chen Feng · Wenjun Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Characterizing possible failure modes in physics-informed neural networks
Aditi Krishnapriyan · Amir Gholami · Shandian Zhe · Robert Kirby · Michael Mahoney
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy · Anca Dragan · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Second-Order Neural ODE Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Active Learning with Performance Guarantees
Zhilei Wang · Pranjal Awasthi · Christoph Dann · Ayush Sekhari · Claudio Gentile
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin · Arka Sadhu · Junyi Du · Xiang Ren
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Blending Anti-Aliasing into Vision Transformer
Shengju Qian · Hao Shao · Yi Zhu · Mu Li · Jiaya Jia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
Jingling Li · Mozhi Zhang · Keyulu Xu · John Dickerson · Jimmy Ba
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Posterior Collapse and Latent Variable Non-identifiability
Yixin Wang · David Blei · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen · Ching-Hua Lee · Harinath Garudadri · Bhaskar D Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Jiayang Xu · Aniruddhe Pradhan · Karthikeyan Duraisamy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Representation Power of Set Pooling Networks
Christian Bueno · Alan Hylton
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Rectangular Flows for Manifold Learning
Anthony Caterini · Gabriel Loaiza-Ganem · Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continual Learning via Local Module Composition
Oleksiy Ostapenko · Pau Rodriguez · Massimo Caccia · Laurent Charlin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems
Guangmo Tong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui · Miao Yin · Yi Xie · Huy Phan · Saman Aliari Zonouz · Bo Yuan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Value of Interaction and Function Approximation in Imitation Learning
Nived Rajaraman · Yanjun Han · Lin Yang · Jingbo Liu · Jiantao Jiao · Kannan Ramchandran
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
Jongmin Lee · Chanwoo Park · Ernest Ryu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Stochastic Newton Algorithm for Distributed Convex Optimization
Brian Bullins · Kshitij Patel · Ohad Shamir · Nathan Srebro · Blake Woodworth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Proper Value Equivalence
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pseudo-Spherical Contrastive Divergence
Lantao Yu · Jiaming Song · Yang Song · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth · Cengiz Pehlevan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld · Kristjan Greenewald
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal Sketching for Trace Estimation
Shuli Jiang · Hai Pham · David Woodruff · Richard Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Communication under Varying Sizes and Connectivities
Jooyeon Kim · Alice Oh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan · Su Jia · Andrew Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Counterbalancing Learning and Strategic Incentives in Allocation Markets
Jamie Kang · Faidra Monachou · Moran Koren · Itai Ashlagi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen · Haoran Sun · Caleb Ellington · Eric Xing · Le Song
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
Ruichu Cai · Jinjie Yuan · Boyan Xu · Zhifeng Hao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen · Mehdi Jafarnia-Jahromi · Rahul Jain · Haipeng Luo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang · Kaiyi Ji · Yingbin Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Selective Sampling for Online Best-arm Identification
Romain Camilleri · Zhihan Xiong · Maryam Fazel · Lalit Jain · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park · Anas Awadalla · Tadayoshi Kohno · Shwetak Patel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee · Sae-Young Chung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning
Sheng Zhang · Zhe Zhang · Siva Theja Maguluri
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang · Chunyuan Li · Pengchuan Zhang · Xiyang Dai · Bin Xiao · Lu Yuan · Jianfeng Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Flexible Option Learning
Martin Klissarov · Doina Precup
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Change Point Detection via Multivariate Singular Spectrum Analysis
Arwa Alanqary · Abdullah Alomar · Devavrat Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer · Nitarshan Rajkumar · Michael Noukhovitch · Ankesh Anand · Laurent Charlin · R Devon Hjelm · Philip Bachman · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
Gugan Chandrashekhar Thoppe · Bhumesh Kumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Stochastic Stability of Deep Markov Models
Jan Drgona · Sayak Mukherjee · Jiaxin Zhang · Frank Liu · Mahantesh Halappanavar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov · Nikita Zhivotovskiy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
Zhenyu Xie · Zaiyu Huang · Fuwei Zhao · Haoye Dong · Michael Kampffmeyer · Xiaodan Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Open Rule Induction
Wanyun Cui · Xingran Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Divyansh Jhunjhunwala · Ankur Mallick · Advait Gadhikar · Swanand Kadhe · Gauri Joshi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun · Ang Li · Louis DiValentin · Amin Hassanzadeh · Yiran Chen · Hai Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen · Takashi Matsubara · Takaharu Yaguchi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot · Murtaza Dalal · Saurabh Gupta · Jitendra Malik · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Channel Permutations for N:M Sparsity
Jeff Pool · Chong Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas · Daniel Kane · Christos Tzamos
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Topological Detection of Trojaned Neural Networks
Songzhu Zheng · Yikai Zhang · Hubert Wagner · Mayank Goswami · Chao Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentiable Quality Diversity
Matthew Fontaine · Stefanos Nikolaidis
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Matteo Papini · Andrea Tirinzoni · Aldo Pacchiano · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu · Zuobai Zhang · Louis-Pascal Xhonneux · Jian Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
Brandon Jacques · Zoran Tiganj · Marc Howard · Per B Sederberg
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang · Tianyun Zhang · Sijia Liu · Pin-Yu Chen · Jiacen Xu · Makan Fardad · Bo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen · Masha Itkina · Ransalu Senanayake · Mykel J Kochenderfer
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal · Marius Arvinte · Giannis Daras · Eric Price · Alex Dimakis · Jon Tamir
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Kaifeng Lyu · Zhiyuan Li · Runzhe Wang · Sanjeev Arora
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Second-order Convergence Properties of Random Search Methods
Aurelien Lucchi · Antonio Orvieto · Adamos Solomou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Adaptable Agent Populations via a Generative Model of Policies
Kenneth Derek · Phillip Isola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li · Yuxin Chen · Yuejie Chi · Yuantao Gu · Yuting Wei
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan · Prasanna Balaprakash
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran · Bohdan Kivva · Ming Gao · Bryon Aragam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Towards Efficient and Effective Adversarial Training
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Venkatesh Babu R
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
Zichen Miao · Ze Wang · Xiuyuan Cheng · Qiang Qiu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao · Qingyan Meng · Zongpeng Zhang · Yisen Wang · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Jialun Zhang · Salar Fattahi · Richard Y Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Expected Complexity of Maxout Networks
Hanna Tseran · Guido Montufar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Progressive Coordinate Transforms for Monocular 3D Object Detection
Li Wang · Li Zhang · Yi Zhu · Zhi Zhang · Tong He · Mu Li · Xiangyang Xue
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Scaling Up Exact Neural Network Compression by ReLU Stability
Thiago Serra · Xin Yu · Abhinav Kumar · Srikumar Ramalingam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Convergence Analysis of Gradient Descent on Graph Neural Networks
Pranjal Awasthi · Abhimanyu Das · Sreenivas Gollapudi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni · Jasmina Bogojeska · Andreas Loukas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan · Hang Gao · Sunil Gandhi · Edward Raff · Tim Oates · James Holt · Mark McLean
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
Xiaofeng Fan · Yining Ma · Zhongxiang Dai · Wei Jing · Cheston Tan · Bryan Kian Hsiang Low
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Probability Paths and the Structure of Predictions over Time
Zhiyuan Jerry Lin · Hao Sheng · Sharad Goel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong · Chenyu Lian · Detian Huang · zhenjiang li · Yanle Hu · Qichao Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad · Banghua Zhu · Cong Ma · Jiantao Jiao · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Sham Kakade
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coupled Gradient Estimators for Discrete Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Dae Young Park · Moon-Hyun Cha · changwook jeong · Daesin Kim · Bohyung Han
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coresets for Classification – Simplified and Strengthened
Tung Mai · Cameron Musco · Anup Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Atsushi Nitanda · Denny Wu · Taiji Suzuki
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A nonparametric method for gradual change problems with statistical guarantees
Lizhen Nie · Dan Nicolae
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing · Jean Ventura · Guillaume Bellec · Wulfram Gerstner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jinming Cui · Chaochao Chen · Lingjuan Lyu · Carl Yang · Wang Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Extended Hazard Models for Survival Analysis
Qixian Zhong · Jonas Mueller · Jane-Ling Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li · Jie Wu · Xuefeng Xiao · Fei Chao · Xudong Mao · Rongrong Ji
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Lifelong Domain Adaptation via Consolidated Internal Distribution
Mohammad Rostami
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Autobahn: Automorphism-based Graph Neural Nets
Erik Thiede · Wenda Zhou · Risi Kondor
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Class-Incremental Learning via Dual Augmentation
Fei Zhu · Zhen Cheng · Xu-yao Zhang · Cheng-lin Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen · Yu Cheng · Zhe Gan · Jingjing Liu · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler
Aditya Desai · Zhaozhuo Xu · Menal Gupta · Anu Chandran · Antoine Vial-Aussavy · Anshumali Shrivastava
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Optimization for Multilingual Translation with Imbalanced Data
Xian Li · Hongyu Gong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang · Song Guo · Xiaosong Ma · Haozhao Wang · Wenchao Xu · Feijie Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Online Learning in Periodic Zero-Sum Games
Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Manipulating SGD with Data Ordering Attacks
I Shumailov · Zakhar Shumaylov · Dmitry Kazhdan · Yiren Zhao · Nicolas Papernot · Murat Erdogdu · Ross J Anderson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fine-Grained Zero-Shot Learning with DNA as Side Information
Sarkhan Badirli · Zeynep Akata · George Mohler · Christine Picard · Mehmet M Dundar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker · Huao Li · Siddharth Agrawal · Dana Hughes · Katia Sycara · Michael Lewis · Julie A Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello · Javier Turek · Vy Vo · Alexander Huth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong ZHANG · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
Gabriel Ocker · Michael Buice
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A generative nonparametric Bayesian model for whole genomes
Alan Amin · Eli N Weinstein · Debora Marks
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang · Xiangyuan Zhang · Bin Hu · Tamer Basar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sub-Linear Memory: How to Make Performers SLiM
Valerii Likhosherstov · Krzysztof Choromanski · Jared Quincy Davis · Xingyou Song · Adrian Weller
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Dominic Richards · Ilja Kuzborskij
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Max-Min Entropy Framework for Reinforcement Learning
Seungyul Han · Youngchul Sung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Corruption Robust Active Learning
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn · Sinho Chewi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diverse Message Passing for Attribute with Heterophily
Liang Yang · Mengzhe Li · Liyang Liu · bingxin niu · Chuan Wang · Xiaochun Cao · Yuanfang Guo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu · Tianyu Ding · Jinxin Zhou · Xiao Li · Chong You · Jeremias Sulam · Qing Qu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Bingyan Wang · Yuling Yan · Jianqing Fan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Localization with Sampling-Argmax
Jiefeng Li · Tong Chen · Ruiqi Shi · Yujing Lou · Yong-Lu Li · Cewu Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Yifei Min · Tianhao Wang · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Ultrahyperbolic Neural Networks
Marc Law
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revenue maximization via machine learning with noisy data
Ellen Vitercik · Tom Yan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
Alp Yurtsever · Alex Gu · Suvrit Sra
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao · Michael Kim · Roshni Sahoo · Tengyu Ma · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
When Is Generalizable Reinforcement Learning Tractable?
Dhruv Malik · Yuanzhi Li · Pradeep Ravikumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Active 3D Shape Reconstruction from Vision and Touch
Edward Smith · David Meger · Luis Pineda · Roberto Calandra · Jitendra Malik · Adriana Romero Soriano · Michal Drozdzal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang · Jae Hyun Lim · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song · Shuo Yang · Ruizhe Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient Active Learning for Gaussian Process Classification by Error Reduction
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei · Sang Michael Xie · Tengyu Ma
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Multiple Descent: Design Your Own Generalization Curve
Lin Chen · Yifei Min · Mikhail Belkin · Amin Karbasi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobILE: Model-Based Imitation Learning From Observation Alone
Rahul Kidambi · Jonathan Chang · Wen Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Scaling Neural Tangent Kernels via Sketching and Random Features
Amir Zandieh · Insu Han · Haim Avron · Neta Shoham · Chaewon Kim · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Shibo Li · Robert Kirby · Shandian Zhe
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim · Jong Chul Ye · Jae-Jin Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue · Flora Salim · Yongli Ren · Nuria Oliver
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Universal Approximation Using Well-Conditioned Normalizing Flows
Holden Lee · Chirag Pabbaraju · Anish Prasad Sevekari · Andrej Risteski
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
Aryan Deshwal · Jana Doppa
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang · Shaofeng Zou · Yi Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
HRFormer: High-Resolution Vision Transformer for Dense Predict
YUHUI YUAN · Rao Fu · Lang Huang · Weihong Lin · Chao Zhang · Xilin Chen · Jingdong Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · Alexander Nichol
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Demystifying and Generalizing BinaryConnect
Tim Dockhorn · Yaoliang Yu · Eyyüb Sari · Mahdi Zolnouri · Vahid Partovi Nia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu · Qiming ZHANG · Jing Zhang · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian Trippe · Hilary Finucane · Tamara Broderick
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen · Yu Cheng · Zhe Gan · Lu Yuan · Lei Zhang · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gauge Equivariant Transformer
Lingshen He · Yiming Dong · Yisen Wang · Dacheng Tao · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Model Stitching to Compare Neural Representations
Yamini Bansal · Preetum Nakkiran · Boaz Barak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
Jungwuk Park · Dong-Jun Han · Minseok Choi · Jaekyun Moon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhanqiu Zhang · Jie Wang · Jiajun Chen · Shuiwang Ji · Feng Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu · Sungsoo Ahn · Le Song · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner · Qiyang Li · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Effective Scheduling of Model-based Reinforcement Learning
Hang Lai · Jian Shen · Weinan Zhang · Yimin Huang · Xing Zhang · Ruiming Tang · Yong Yu · Zhenguo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
What Makes Multi-Modal Learning Better than Single (Provably)
Yu Huang · Chenzhuang Du · Zihui Xue · Xuanyao Chen · Hang Zhao · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng · Yang Song · Wenzhe Li · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Julian Katz-Samuels · Blake Mason · Kevin Jamieson · Rob Nowak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
Sangjoon Park · Gwanghyun Kim · Jeongsol Kim · Boah Kim · Jong Chul Ye
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li · Zhiyang Chen · Fan Yang · Wei Li · Yousong Zhu · Chaoyang Zhao · Rui Deng · Liwei Wu · Rui Zhao · Ming Tang · Jinqiao Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen · Frederick Liu · Besim Avci · Xi Wu · Yingyu Liang · Somesh Jha
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song · Conor Durkan · Iain Murray · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Pratik Chaudhari · Alexander Smola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan · Lan Du · Wray Buntine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari · Guillaume Rabusseau
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu · Kaixuan Huang · Jingzhao Zhang · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu · Zhenghai Xue · Jingcheng Pang · Shengyi Jiang · Feng Xu · Yang Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy · Krishnakumar Balasubramanian · Murat Erdogdu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li · Yi Tian · Jingzhao Zhang · Ali Jadbabaie
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Soft Calibration Objectives for Neural Networks
Archit Karandikar · Nicholas Cain · Dustin Tran · Balaji Lakshminarayanan · Jonathon Shlens · Michael Mozer · Becca Roelofs
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
Colin Conwell · David Mayo · Andrei Barbu · Michael Buice · George Alvarez · Boris Katz
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
Dazhong Shen · Chuan Qin · Chao Wang · Zheng Dong · Hengshu Zhu · Hui Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Xuefan Zha · Wentao Zhu · Lv Xun · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The staircase property: How hierarchical structure can guide deep learning
Emmanuel Abbe · Enric Boix-Adsera · Matthew S Brennan · Guy Bresler · Dheeraj Nagaraj
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
NAS-Bench-x11 and the Power of Learning Curves
Shen Yan · Colin White · Yash Savani · Frank Hutter
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Teaching an Active Learner with Contrastive Examples
Chaoqi Wang · Adish Singla · Yuxin Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan · Jie Yan · Chuan Luo · Liting Chen · Qingwei Lin · Dongmei Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Representing Long-Range Context for Graph Neural Networks with Global Attention
Zhanghao Wu · Paras Jain · Matthew Wright · Azalia Mirhoseini · Joseph Gonzalez · Ion Stoica
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Optimization of Function Networks
Raul Astudillo · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
Shuang Ao · Tianyi Zhou · Guodong Long · Qinghua Lu · Liming Zhu · Jing Jiang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
Amirreza Farnoosh · Sarah Ostadabbas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
Juan Correa · Sanghack Lee · Elias Bareinboim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Hyperparameter Tuning is All You Need for LISTA
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar · Eric Malmi · Aliaksei Severyn · Yulia Tsvetkov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Class-Disentanglement and Applications in Adversarial Detection and Defense
Kaiwen Yang · Tianyi Zhou · Yonggang Zhang · Xinmei Tian · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Raul Astudillo · Daniel Jiang · Maximilian Balandat · Eytan Bakshy · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bootstrapping the Error of Oja's Algorithm
Robert Lunde · Purnamrita Sarkar · Rachel Ward
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning · Changcheng Tang · Wenshuo Li · Zixuan Zhou · Shuang Liang · Huazhong Yang · Yu Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Feihu Huang · Xidong Wu · Heng Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
Yixin Chen · Tonmoy Dey · Alan Kuhnle
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Collapsed Variational Bounds for Bayesian Neural Networks
Marcin Tomczak · Siddharth Swaroop · Andrew Foong · Richard Turner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
How Modular should Neural Module Networks Be for Systematic Generalization?
Vanessa D'Amario · Tomotake Sasaki · Xavier Boix
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Topological Perspective on Causal Inference
Duligur Ibeling · Thomas Icard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Graph Neural Networks with Adaptive Residual
Xiaorui Liu · Jiayuan Ding · Wei Jin · Han Xu · Yao Ma · Zitao Liu · Jiliang Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably efficient, succinct, and precise explanations
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Permuton-induced Chinese Restaurant Process
Masahiro Nakano · Yasuhiro Fujiwara · Akisato Kimura · Takeshi Yamada · naonori ueda
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He · Dingjie Wang · Nicholas Lai · William Zhang · Chenlin Meng · Marshall Burke · David Lobell · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
Yifan Chen · Qi Zeng · Heng Ji · Yun Yang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Adaptation for Covariate Shift
Aurick Zhou · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Muchen Li · Leonid Sigal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal prediction of Markov chains with and without spectral gap
Yanjun Han · Soham Jana · Yihong Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma · Kawin Ethayarajh · Tristan Thrush · Somya Jain · Ledell Wu · Robin Jia · Christopher Potts · Adina Williams · Douwe Kiela
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking gradient sparsification as total error minimization
Atal Sahu · Aritra Dutta · Ahmed M. Abdelmoniem · Trambak Banerjee · Marco Canini · Panos Kalnis
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
Tom Hess · Michal Moshkovitz · Sivan Sabato
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sim and Real: Better Together
Shirli Di-Castro · Dotan Di Castro · Shie Mannor
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Making the most of your day: online learning for optimal allocation of time
Etienne Boursier · Tristan Garrec · Vianney Perchet · Marco Scarsini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Post-Training Sparsity-Aware Quantization
Gil Shomron · Freddy Gabbay · Samer Kurzum · Uri Weiser
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
Sen Na
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adaptive Data Augmentation on Temporal Graphs
Yiwei Wang · Yujun Cai · Yuxuan Liang · Henghui Ding · Changhu Wang · Siddharth Bhatia · Bryan Hooi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dynamic Resolution Network
Mingjian Zhu · Kai Han · Enhua Wu · Qiulin Zhang · Ying Nie · Zhenzhong Lan · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DRONE: Data-aware Low-rank Compression for Large NLP Models
Patrick Chen · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu · Krishnakumar Balasubramanian · Stanislav Volgushev · Murat Erdogdu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Automatic Data Augmentation for Generalization in Reinforcement Learning
Roberta Raileanu · Maxwell Goldstein · Denis Yarats · Ilya Kostrikov · Rob Fergus
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Gradient Method for Multilevel Optimization
Ryo Sato · Mirai Tanaka · Akiko Takeda
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Combination of Rematerialization and Offloading for Training DNNs
Olivier Beaumont · Lionel Eyraud-Dubois · Alena Shilova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Structure-Aware Random Fourier Kernel for Graphs
Jinyuan Fang · Qiang Zhang · Zaiqiao Meng · Shangsong Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subquadratic Overparameterization for Shallow Neural Networks
ChaeHwan Song · Ali Ramezani-Kebrya · Thomas Pethick · Armin Eftekhari · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
Regev Cohen · Yochai Blau · Daniel Freedman · Ehud Rivlin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Differentially Private Multi-Armed Bandits in the Shuffle Model
Jay Tenenbaum · Haim Kaplan · Yishay Mansour · Uri Stemmer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Continuous Mean-Covariance Bandits
Yihan Du · Siwei Wang · Zhixuan Fang · Longbo Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Combinatorial Pure Exploration with Bottleneck Reward Function
Yihan Du · Yuko Kuroki · Wei Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Well-tuned Simple Nets Excel on Tabular Datasets
Arlind Kadra · Marius Lindauer · Frank Hutter · Josif Grabocka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Curriculum Disentangled Recommendation with Noisy Multi-feedback
Hong Chen · Yudong Chen · Xin Wang · Ruobing Xie · Rui Wang · Feng Xia · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu · Chenxiao Yang · Junchi Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Sparse Tensor PCA
Davin Choo · Tommaso d'Orsi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adder Attention for Vision Transformer
Han Shu · Jiahao Wang · Hanting Chen · Lin Li · Yujiu Yang · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Ruizhe Qin · Mengying Li · Hu Ding
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars · Federico Paredes-Valles · Guido de Croon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
Deng-Bao Wang · Lei Feng · Min-Ling Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
Xinyi Xu · Lingjuan Lyu · Xingjun Ma · Chenglin Miao · Chuan Sheng Foo · Bryan Kian Hsiang Low
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Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu · Zhi Tian · Yuqing Wang · Bo Zhang · Haibing Ren · Xiaolin Wei · Huaxia Xia · Chunhua Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Decentralized Q-learning in Zero-sum Markov Games
Muhammed Sayin · Kaiqing Zhang · David Leslie · Tamer Basar · Asuman Ozdaglar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
Ying Sun · Hengshu Zhu · Chuan Qin · Fuzhen Zhuang · Qing He · Hui Xiong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Ekdeep S Lubana · Robert Dick · Hidenori Tanaka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model Selection for Bayesian Autoencoders
Ba-Hien Tran · Simone Rossi · Dimitrios Milios · Pietro Michiardi · Edwin Bonilla · Maurizio Filippone
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
Benyuan Sun · Hongxing Huo · YI YANG · Bo Bai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede · Mathias Niepert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Parameter-free HE-friendly Logistic Regression
Junyoung Byun · Woojin Lee · Jaewook Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho · Sunghwan Hong · Sangryul Jeon · Yunsung Lee · Kwanghoon Sohn · Seungryong Kim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Shuwen Liu · Bernardo Grau · Ian Horrocks · Egor Kostylev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Adversarial Reweighting for Partial Domain Adaptation
Xiang Gu · Xi Yu · Yan Yang · Jian Sun · Zongben Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Personalized Federated Learning With Gaussian Processes
Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma · Zongbo Han · Changqing Zhang · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
Achille Thin · Yazid Janati El Idrissi · Sylvain Le Corff · Charles Ollion · Eric Moulines · Arnaud Doucet · Alain Durmus · Christian X Robert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu · Yaohua Liu · Shangzhi Zeng · Jin Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang · Ning Kang · Tom Ryder · Zhenguo Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Partial Multi-Label Learning via Mutual Information
Xiuwen Gong · Dong Yuan · Wei Bao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci · Gregor Bachmann · Kevin Roth · Sebastian Nowozin · Thomas Hofmann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
Xiong-Hui Chen · Shengyi Jiang · Feng Xu · Zongzhang Zhang · Yang Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
Kazu Ghalamkari · Mahito Sugiyama
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler · Bertrand Charpentier · Simon Geisler · Daniel Zügner · Stephan Günnemann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han · Kaidi Xu · Xing Hu · Xiaobing Chen · LING LIANG · Zidong Du · Qi Guo · Yanzhi Wang · Yunji Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu · Zenghao Chai · Chun Yuan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo · Vincent Fortuin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Calvin Tsay · Jan Kronqvist · Alexander Thebelt · Ruth Misener
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen · Markus Heinonen · Samuel Kaski
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Jonathan Schmidt · Nicholas Krämer · Philipp Hennig
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin · Bohang Zhang · Haiyang Wang · Liwei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
Dong Quan Vu · Kimon Antonakopoulos · Panayotis Mertikopoulos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
Jinwoo Kim · Saeyoon Oh · Seunghoon Hong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh · Touba Malekzadeh · Ngai-Man (Man) Cheung
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PSD Representations for Effective Probability Models
Alessandro Rudi · Carlo Ciliberto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan · Zhanxing Zhu · Xiangyu Zhang · Jian Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Boost Neural Networks by Checkpoints
Feng Wang · Guoyizhe Wei · Qiao Liu · Jinxiang Ou · xian wei · Hairong Lv
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Independent mechanism analysis, a new concept?
Luigi Gresele · Julius von Kügelgen · Vincent Stimper · Bernhard Schölkopf · Michel Besserve
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Time-independent Generalization Bounds for SGLD in Non-convex Settings
Tyler Farghly · Patrick Rebeschini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI · JIAXIN CHEN · Wenlong Zhang · Li-Ming Zhan · Xiao-Ming Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi · Kieran Chin-Cheong · Holger Michel · Sven Wellmann · Julia Vogt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Tree Path in Transformer for Code Representation
Han Peng · Ge Li · Wenhan Wang · YunFei Zhao · Zhi Jin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras · Emiel Hoogeboom · Fabian Fuchs · Ingmar Posner · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stylized Dialogue Generation with Multi-Pass Dual Learning
Jinpeng Li · Yingce Xia · Rui Yan · Hongda Sun · Dongyan Zhao · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Faster Non-asymptotic Convergence for Double Q-learning
Lin Zhao · Huaqing Xiong · Yingbin Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Batched Thompson Sampling
Cem Kalkanli · Ayfer Ozgur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Guangpin Tao · Xiaozhong Ji · Wenzhuo Wang · Shuo Chen · Chuming Lin · Yun Cao · Tong Lu · Donghao Luo · Ying Tai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim · Gi-Soo Kim · Myunghee Cho Paik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Shashi Kant Gupta · Mengmi Zhang · CHIA-CHIEN WU · Jeremy Wolfe · Gabriel Kreiman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning interaction rules from multi-animal trajectories via augmented behavioral models
Keisuke Fujii · Naoya Takeishi · Kazushi Tsutsui · Emyo Fujioka · Nozomi Nishiumi · Ryoya Tanaka · Mika Fukushiro · Kaoru Ide · Hiroyoshi Kohno · Ken Yoda · Susumu Takahashi · Shizuko Hiryu · Yoshinobu Kawahara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang · Vincent Tan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalization Guarantee of SGD for Pairwise Learning
Yunwen Lei · Mingrui Liu · Yiming Ying
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Universal Off-Policy Evaluation
Yash Chandak · Scott Niekum · Bruno da Silva · Erik Learned-Miller · Emma Brunskill · Philip Thomas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Tactical Optimism and Pessimism for Deep Reinforcement Learning
Ted Moskovitz · Jack Parker-Holder · Aldo Pacchiano · Michael Arbel · Michael Jordan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sparse Spiking Gradient Descent
Nicolas Perez-Nieves · Dan Goodman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Refined Learning Bounds for Kernel and Approximate $k$-Means
Yong Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
Pan Zhou · Hanshu Yan · Xiaotong Yuan · Jiashi Feng · Shuicheng Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
YU HAO · Xin Cao · Yufan Sheng · Yixiang Fang · Wei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Continual Bayesian Meta-Learning
Qiang Zhang · Jinyuan Fang · Zaiqiao Meng · Shangsong Liang · Emine Yilmaz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Bandits with Unknown Graph Structure
Yangyi Lu · Amirhossein Meisami · Ambuj Tewari
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee · Miaoyan Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang · Yifan Sun · Xun Wang · Haotian Yao · Chi Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli · Ertunc Erdil · Andeas Hötker · Olivio Donati · Ender Konukoglu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalizable Multi-linear Attention Network
Tao Jin · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex · Caroline Uhler · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Differentiable Architecture Search with Structure Learning
Yijian Qin · Xin Wang · Zeyang Zhang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
Heng Chang · Yu Rong · Tingyang Xu · Yatao Bian · Shiji Zhou · Xin Wang · Junzhou Huang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Unlabeled Principal Component Analysis
Yunzhen Yao · Liangzu Peng · Manolis Tsakiris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Coresets for Time Series Clustering
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Stefan O'Toole · Nir Lipovetzky · Miquel Ramirez · Adrian Pearce
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ROI Maximization in Stochastic Online Decision-Making
Nicolò Cesa-Bianchi · Tom Cesari · Yishay Mansour · Vianney Perchet
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cycle Self-Training for Domain Adaptation
Hong Liu · Jianmin Wang · Mingsheng Long
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Ritsugen Jo · Heishiro Kanagawa · Arthur Gretton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Disentangled Contrastive Learning on Graphs
Haoyang Li · Xin Wang · Ziwei Zhang · Zehuan Yuan · Hang Li · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
Zhize Li · Peter Richtarik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
Qian Ning · Weisheng Dong · Xin Li · Jinjian Wu · GUANGMING Shi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang · Shaobo Min · Xuejin Chen · Xiaoyan Sun · Houqiang Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher Jensen · Ta-Chu Kao · Jasmine Stone · Guillaume Hennequin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IRM—when it works and when it doesn't: A test case of natural language inference
Yana Dranker · He He · Yonatan Belinkov
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Combine Per-Example Solutions for Neural Program Synthesis
Disha Shrivastava · Hugo Larochelle · Daniel Tarlow
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Aditya Kusupati · Matthew Wallingford · Vivek Ramanujan · Raghav Somani · Jae Sung Park · Krishna Pillutla · Prateek Jain · Sham Kakade · Ali Farhadi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Tobias Sutter · Andreas Krause · Daniel Kuhn
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Note on Sparse Generalized Eigenvalue Problem
Yunfeng Cai · Guanhua Fang · Ping Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen · Guosen Xie · Yang Liu · Qinmu Peng · Baigui Sun · Hao Li · Xinge You · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsu Kim · Younggyo Seo · Jinwoo Shin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Time-series Forecasting
Kamile Stankeviciute · Ahmed M. Alaa · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Few-Round Learning for Federated Learning
Younghyun Park · Dong-Jun Han · Do-Yeon Kim · Jun Seo · Jaekyun Moon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Sen Cui · Weishen Pan · Jian Liang · Changshui Zhang · Fei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Nathan Grinsztajn · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang · Kai He · Linxiao Yang · Hongxia Du · Jingbang Yang · Bo Yang · Liang Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Entropy-based adaptive Hamiltonian Monte Carlo
Marcel Hirt · Michalis Titsias · Petros Dellaportas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Zihan Zhang · Jiaqi Yang · Xiangyang Ji · Simon Du
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning a Single Neuron with Bias Using Gradient Descent
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Re-ranking for image retrieval and transductive few-shot classification
Xi SHEN · Yang Xiao · Shell Xu Hu · Othman Sbai · Mathieu Aubry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Truncated Marginal Neural Ratio Estimation
Benjamin K Miller · Alex Cole · Patrick Forré · Gilles Louppe · Christoph Weniger
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo · Tengyu Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Lip to Speech Synthesis with Visual Context Attentional GAN
Minsu Kim · Joanna Hong · Yong Man Ro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu · Xinrun Wang · Runsheng Yu · Rundong Wang · Xu He · Bo An · Svetlana Obraztsova · Zinovi Rabinovich
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu · Ziqi Liu · Ge Jin · Zhiqiang Zhang · Lei Chen · Jun Zhou · Jianyong Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
See More for Scene: Pairwise Consistency Learning for Scene Classification
Gongwei Chen · Xinhang Song · Bohan Wang · Shuqiang Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen · Yuanxin Zhang · Yuanfan Xu · Huimin Ma · Huazhong Yang · Jiaming Song · Yu Wang · Yi Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Yi Ren · Jinglin Liu · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Graphical Models in Heavy-Tailed Markets
José Vinícius de Miranda Cardoso · Jiaxi Ying · Daniel Palomar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Deep Contextual Video Compression
Jiahao Li · Bin Li · Yan Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
Raanan Rohekar · Shami Nisimov · Yaniv Gurwicz · Gal Novik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
What’s a good imputation to predict with missing values?
Marine Le Morvan · Julie Josse · Erwan Scornet · Gael Varoquaux
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Haibo Chen · lei zhao · Zhizhong Wang · Huiming Zhang · Zhiwen Zuo · Ailin Li · Wei Xing · Dongming Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Implicit Bias of Minima Stability: A View from Function Space
Rotem Mulayoff · Tomer Michaeli · Daniel Soudry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
What can linearized neural networks actually say about generalization?
Guillermo Ortiz-Jimenez · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen · Xiantong Zhen · Marcel Worring · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
Pascal Esser · Leena Chennuru Vankadara · Debarghya Ghoshdastidar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo · Longhui Wei · Liangjian Wen · Jinrong Yang · Lingxi Xie · Zenglin Xu · Qi Tian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
Briti Gangopadhyay · Pallab Dasgupta
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model-Based Reinforcement Learning via Imagination with Derived Memory
Yao Mu · Yuzheng Zhuang · Bin Wang · Guangxiang Zhu · Wulong Liu · Jianyu Chen · Ping Luo · Shengbo Li · Chongjie Zhang · Jianye Hao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Proportional Participatory Budgeting with Additive Utilities
Grzegorz Pierczyński · Piotr Skowron · Dominik Peters
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Björn Haddenhorst · Viktor Bengs · Eyke Hüllermeier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei · Cuiling Lan · Wenjun Zeng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He · Zhewei Wei · zengfeng Huang · Hongteng Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On learning sparse vectors from mixture of responses
Nikita Polyanskii
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Estimation Bias in Double Q-Learning
Zhizhou Ren · Guangxiang Zhu · Hao Hu · Beining Han · Jianglun Chen · Chongjie Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Fenglin Liu · Chenyu You · Xian Wu · Shen Ge · Sheng wang · Xu Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang · Qitian Wu · Junchi Yan · David Wipf · Philip S Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz · Siddhant Jayakumar · Razvan Pascanu · Peter E Latham · Yee Teh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro · Cedric Gerbelot · Hugo Cui · Sebastian Goldt · Florent Krzakala · Marc Mezard · Lenka Zdeborová
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech · Runlong Zhou · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha · Sanghyuk Chun · Kyungjae Lee · Han-Cheol Cho · Seunghyun Park · Yunsung Lee · Sungrae Park
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Information Directed Reward Learning for Reinforcement Learning
David Lindner · Matteo Turchetta · Sebastian Tschiatschek · Kamil Ciosek · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Associating Objects with Transformers for Video Object Segmentation
Zongxin Yang · Yunchao Wei · Yi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis · Filippos Christianos · Stefano Albrecht
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang · Zhongqi Yue · Jianqiang Huang · Qianru Sun · Hanwang Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
Bohan Wang · Huishuai Zhang · Jieyu Zhang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Co-evolution Transformer for Protein Contact Prediction
He Zhang · Fusong Ju · Jianwei Zhu · Liang He · Bin Shao · Nanning Zheng · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong · Hayeon Lee · Geon Park · Eunyoung Hyung · Jinheon Baek · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Learn Graph Topologies
Xingyue Pu · Tianyue Cao · Xiaoyun Zhang · Xiaowen Dong · Siheng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla · Soumen Chakrabarti · Sunita Sarawagi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
Priyank Jaini · Lars Holdijk · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao · Yanwen Fang · Guodong Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee · Sewoong Lee · Song Chong · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma · Zixun Lan · Lu Zong · Kaizhu Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
Kfir Levy · Ali Kavis · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Diversity Matters When Learning From Ensembles
Giung Nam · Jongmin Yoon · Yoonho Lee · Juho Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized Online Learning
Jiyan Jiang · Wenpeng Zhang · Jinjie GU · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Denoising Normalizing Flow
Christian Horvat · Jean-Pascal Pfister
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Effective Meta-Regularization by Kernelized Proximal Regularization
Weisen Jiang · James Kwok · Yu Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan · Siddharth Swaroop
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo · Fei Chen · Dapeng Hu · Yifan Zhang · Jian Liang · Jiashi Feng
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Multi-Label Learning with Pairwise Relevance Ordering
Ming-Kun Xie · Sheng-Jun Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Ziyu Wang · Yuhao Zhou · Tongzheng Ren · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Gradient Inversion with Generative Image Prior
Jinwoo Jeon · jaechang Kim · Kangwook Lee · Sewoong Oh · Jungseul Ok
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku · Sahana Upadhya · Narges Razavian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang · Hengshuang Zhao · Ya-Li Li · Shengjin Wang · Philip Torr · Luca Bertinetto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang · Yifan Bao · Jie Song · Xinchao Wang · Donglin Xie · Chengchao Shen · Mingli Song
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong · Yimeng Chen · Liang Pang · Xueqi Cheng · Zhi-Ming Ma · Yanyan Lan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
Sunghyeon Woo · Jeongwoo Park · Jiwoo Hong · Dongsuk Jeon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Łukasz Kuciński · Tomasz Korbak · Paweł Kołodziej · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Bandits with many optimal arms
Rianne de Heide · James Cheshire · Pierre Ménard · Alexandra Carpentier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
Jonah Brown-Cohen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Preserved central model for faster bidirectional compression in distributed settings
Constantin Philippenko · Aymeric Dieuleveut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Bing-Jing Hsieh · Ping-Chun Hsieh · Xi Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
Tian-Zuo Wang · Zhi-Hua Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Serguei Barannikov · Ilya Trofimov · Grigorii Sotnikov · Ekaterina Trimbach · Alexander Korotin · Alexander Filippov · Evgeny Burnaev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan · Suguman Bansal · Osbert Bastani · Rajeev Alur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Antoine Bodin · Nicolas Macris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
Yufeng Zhang · Siyu Chen · Zhuoran Yang · Michael Jordan · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir · Muhammad Haris Khan · M. Sarfraz · Mohsen Ali
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Yi-Shan Wu · Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen · Pierre-Louis Guhur · Cordelia Schmid · Ivan Laptev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang · Xiaoyu Chen · Li Zhao · Wei Xiong · Tao Qin · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient and Local Parallel Random Walks
Michael Kapralov · Silvio Lattanzi · Navid Nouri · Jakab Tardos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Online Meta-Learning via Learning with Layer-Distributed Memory
Sudarshan Babu · Pedro Savarese · Michael Maire
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Multi-Armed Bandits with Control Variates
Arun Verma · Manjesh Kumar Hanawal
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong Le · Khoi Duc Nguyen · Khoi Nguyen · Quoc-Huy Tran · Rang Nguyen · Binh-Son Hua
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
Qiming Hu · Xiaojie Guo
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan · Rameswar Panda · Yifan Jiang · Zhangyang Wang · Rogerio Feris · Aude Oliva
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian · Peter Richtarik · Tong Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized SGD with Quantized and Local Updates
Giorgi Nadiradze · Amirmojtaba Sabour · Peter Davies · Shigang Li · Dan Alistarh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
How Tight Can PAC-Bayes be in the Small Data Regime?
Andrew Foong · Wessel Bruinsma · David Burt · Richard Turner
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Jiun Tian Hoe · Kam Woh Ng · Tianyu Zhang · Chee Seng Chan · Yi-Zhe Song · Tao Xiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Provable Generalization of Recurrent Neural Networks
Lifu Wang · Bo Shen · Bo Hu · Xing Cao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng · Ping Wang · Christian Desrosiers · Marco Pedersoli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Overlapping Spaces for Compact Graph Representations
Kirill Shevkunov · Liudmila Prokhorenkova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hypergraph Propagation and Community Selection for Objects Retrieval
Guoyuan An · Yuchi Huo · Sung-eui Yoon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Numerical Composition of Differential Privacy
Sivakanth Gopi · Yin Tat Lee · Lukas Wutschitz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Latent Matters: Learning Deep State-Space Models
Alexej Klushyn · Richard Kurle · Maximilian Soelch · Botond Cseke · Patrick van der Smagt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen · Philippe Wenk · Andreas Krause · Florian Dorfler
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subgoal Search For Complex Reasoning Tasks
Konrad Czechowski · Tomasz Odrzygóźdź · Marek Zbysiński · Michał Zawalski · Krzysztof Olejnik · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao · minquan wang · Longjun Cai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Kernel Functional Optimisation
Arun Kumar Anjanapura Venkatesh · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Mengmeng Xu · Juan Manuel Perez Rua · Xiatian Zhu · Bernard Ghanem · Brais Martinez
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert Vandermeulen · Antoine Ledent
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic bandits with groups of similar arms.
Fabien Pesquerel · Hassan SABER · Odalric-Ambrym Maillard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta Internal Learning
Raphael Bensadoun · Shir Gur · Tomer Galanti · Lior Wolf
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal · Aaron Lou · Leonidas Guibas · Umut Simsekli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei · Chenglong Bao · Yang Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta · Tanya Gautam · Soumen Chakrabarti · Tanmoy Chakraborty
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Shuyu Cheng · Guoqiang Wu · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu · Cuiling Lan · Wenjun Zeng · Mingxiao Feng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Shengcai Liao · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser · Robin Rombach · Andreas Blattmann · Bjorn Ommer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Leo Lebrat · Rodrigo Santa Cruz · Frederic de Gournay · Darren Fu · Pierrick Bourgeat · Jurgen Fripp · Clinton Fookes · Olivier Salvado
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
Han Zhong · Jiayi Huang · Lin Yang · Liwei Wang
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Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Bandits with Graph Feedback
Houshuang Chen · zengfeng Huang · Shuai Li · Chihao Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
Hao Wang · Yizhe Huang · Rui Gao · Flavio Calmon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
Masahiro Kato · Kenichiro McAlinn · Shota Yasui
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
Longyuan Li · Jian Yao · Li Wenliang · Tong He · Tianjun Xiao · Junchi Yan · David Wipf · Zheng Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking the Variational Interpretation of Accelerated Optimization Methods
Peiyuan Zhang · Antonio Orvieto · Hadi Daneshmand
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević · Devendra Dhami · Athresh Karanam · Sriraam Natarajan · Kristian Kersting
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
Rohan Ghosh · Mehul Motani
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
Rong Zhu · Mattia Rigotti
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BooVI: Provably Efficient Bootstrapped Value Iteration
Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Prediction using Conditional Histograms
Matteo Sesia · Yaniv Romano
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
Runzhe Wu · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
Blake Woodworth · Nathan Srebro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Rank Subspaces in GANs
Jiapeng Zhu · Ruili Feng · Yujun Shen · Deli Zhao · Zheng-Jun Zha · Jingren Zhou · Qifeng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei · Yang Shen · Xuhao Sun · Han-Jia Ye · Jian Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identifiability in inverse reinforcement learning
Haoyang Cao · Samuel Cohen · Lukasz Szpruch
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Modular Gaussian Processes for Transfer Learning
Pablo Moreno-Muñoz · Antonio Artes · Mauricio Álvarez
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Littlestone Classes are Privately Online Learnable
Noah Golowich · Roi Livni
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Bootstrapper
Minsuk Shin · Hyungjoo Cho · Hyun-seok Min · Sungbin Lim
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Noisy Recurrent Neural Networks
Soon Hoe Lim · N. Benjamin Erichson · Liam Hodgkinson · Michael Mahoney
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Statistical Query Lower Bounds for List-Decodable Linear Regression
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas · Alistair Stewart
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Control of Unknown Time-Varying Dynamical Systems
Edgar Minasyan · Paula Gradu · Max Simchowitz · Elad Hazan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang · Qi Long
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
Mikhail Khodak · Renbo Tu · Tian Li · Liam Li · Maria-Florina Balcan · Virginia Smith · Ameet Talwalkar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Boosted CVaR Classification
Runtian Zhai · Chen Dan · Arun Suggala · J. Zico Kolter · Pradeep Ravikumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass Boosting and the Cost of Weak Learning
Nataly Brukhim · Elad Hazan · Shay Moran · Indraneel Mukherjee · Robert Schapire
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Photonic Differential Privacy with Direct Feedback Alignment
Ruben Ohana · Hamlet Medina · Julien Launay · Alessandro Cappelli · Iacopo Poli · Liva Ralaivola · Alain Rakotomamonjy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea · Blair Bilodeau · Nicolò Campolongo · Francesco Orabona · Dan Roy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture weights optimisation for Alpha-Divergence Variational Inference
Kamélia Daudel · randal douc
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning with User-Level Privacy
Daniel Levy · Ziteng Sun · Kareem Amin · Satyen Kale · Alex Kulesza · Mehryar Mohri · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Ming Yin · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Scheduling for Time-dependent Resources
Bo Li · Minming Li · Ruilong Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos · Georgios Piliouras · Kelly Spendlove
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Neehar Peri · Michael Curry · Samuel Dooley · John Dickerson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private n-gram Extraction
Kunho Kim · Sivakanth Gopi · Janardhan Kulkarni · Sergey Yekhanin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
Kuniaki Saito · Donghyun Kim · Kate Saenko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum · Mengjiao (Sherry) Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Navigation by Continuous-time Neural Networks
Charles Vorbach · Ramin Hasani · Alexander Amini · Mathias Lechner · Daniela Rus
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Principal Component Analysis with Limited Communication
Foivos Alimisis · Peter Davies · Bart Vandereycken · Dan Alistarh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-Aware Transfer in Reinforcement Learning using Successor Features
Michael Gimelfarb · Andre Barreto · Scott Sanner · Chi-Guhn Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang · Michael Y Hu · Yinlam Chow · Peter J Ramadge · Karthik Narasimhan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Maximilian Seitzer · Bernhard Schölkopf · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Directed Probabilistic Watershed
Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Conformal Bayesian Computation
Edwin Fong · Chris C Holmes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
Travers Rhodes · Daniel Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Regression with Doubly Non-negative Weighting Matrices
Tam Le · Truyen Nguyen · Makoto Yamada · Jose Blanchet · Viet Anh Nguyen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven · Federico Fusco · Nicolò Cesa-Bianchi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards · Sahand Negahban · Patrick Rebeschini
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
Shangshu Qian · Viet Hung Pham · Thibaud Lutellier · Zeou Hu · Jungwon Kim · Lin Tan · Yaoliang Yu · Jiahao Chen · Sameena Shah
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong · Weijie Su · Linjun Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Jimmy Smith · Scott Linderman · David Sussillo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of representation learning in finite Bayesian neural networks
Jacob Zavatone-Veth · Abdulkadir Canatar · Ben Ruben · Cengiz Pehlevan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh · Martin Keller-Ressel · Pascal Mettes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Weiwei Sun · Andrea Tagliasacchi · Boyang Deng · Sara Sabour · Soroosh Yazdani · Geoffrey Hinton · Kwang Moo Yi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
Niladri Chatterji · Aldo Pacchiano · Peter Bartlett · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Coresets for Decision Trees of Signals
Ibrahim Jubran · Ernesto Evgeniy Sanches Shayda · Ilan I Newman · Dan Feldman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Sortition Made Transparent
Bailey Flanigan · Gregory Kehne · Ariel Procaccia
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
Aviv Rosenberg · Yishay Mansour
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella · Miroslav Olšák · Michal Rolínek · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Ruihan Wu · Chuan Guo · Awni Hannun · Laurens van der Maaten
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner · Justin Domke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Relaxed Marginal Consistency for Differentially Private Query Answering
Ryan McKenna · Siddhant Pradhan · Daniel Sheldon · Gerome Miklau
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
Alon Cohen · Amit Daniely · Yoel Drori · Tomer Koren · Mariano Schain
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Sampling for Minimax Fair Classification
Shubhanshu Shekhar · Greg Fields · Mohammad Ghavamzadeh · Tara Javidi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin · Martin Rinard
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can multi-label classification networks know what they don’t know?
Haoran Wang · Weitang Liu · Alex Bocchieri · Yixuan Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Multi-Grained Explainability for Graph Neural Networks
Xiang Wang · Yingxin Wu · An Zhang · Xiangnan He · Tat-Seng Chua
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Are Transformers more robust than CNNs?
Yutong Bai · Jieru Mei · Alan Yuille · Cihang Xie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
HaiYing Wang · Aonan Zhang · Chong Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao · Alex Bie · Arash Vahdat · Sanja Fidler · Karsten Kreis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Surrogate Regret Bounds for Polyhedral Losses
Rafael Frongillo · Bo Waggoner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan · Wenjie (Joe) Jiang · David Bieber · Rishabh Singh · hamid shojaei · C. Richard Ho · Charles Sutton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi · Guru Guruganesh · Kostas Kollias · Pasin Manurangsi · Renato Leme · Jon Schneider
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
Yuan Cao · Quanquan Gu · Mikhail Belkin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Learning Subspaces
Vikrant Singhal · Thomas Steinke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra · Rayana Jaafar · George J. Pappas · Hamed Hassani
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik · Jean Honorio
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Private and Non-private Uniformity Testing for Ranking Data
Róbert Busa-Fekete · Dimitris Fotakis · Emmanouil Zampetakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding · Zhuoyi Yang · Wenyi Hong · Wendi Zheng · Chang Zhou · Da Yin · Junyang Lin · Xu Zou · Zhou Shao · Hongxia Yang · Jie Tang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski · Lea M. Trenkwalder · Wojciech Masarczyk · Eleanor Scerri · Vedran Dunjko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon · Vianney Perchet · Ciara Pike-Burke · Matteo Pirotta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
Daniel LeJeune · Hamid Javadi · Richard Baraniuk
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Circa: Stochastic ReLUs for Private Deep Learning
Zahra Ghodsi · Nandan Kumar Jha · Brandon Reagen · Siddharth Garg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distribution-free inference for regression: discrete, continuous, and in between
Yonghoon Lee · Rina Barber
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
David Applegate · Mateo Diaz · Oliver Hinder · Haihao Lu · Miles Lubin · Brendan O'Donoghue · Warren Schudy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
Jiaming Liu · Salman Asif · Brendt Wohlberg · Ulugbek Kamilov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beltrami Flow and Neural Diffusion on Graphs
Benjamin Chamberlain · James Rowbottom · Davide Eynard · Francesco Di Giovanni · Xiaowen Dong · Michael Bronstein
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli · Jacob L Menick · Serkan Cabi · S. M. Ali Eslami · Oriol Vinyals · Felix Hill
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke · Simon Vandenhende · Stamatios Georgoulis · Luc V Gool
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Market Equilibrium with Application to Fair Division
Yuan Gao · Alex Peysakhovich · Christian Kroer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy · Robin Walters · Yanchen Liu · Dashun Wang · Rose Yu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Ibrahim Alabdulmohsin · Mario Lucic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An online passive-aggressive algorithm for difference-of-squares classification
Lawrence Saul
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Speech Recognition
Alexei Baevski · Wei-Ning Hsu · Alexis CONNEAU · Michael Auli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimality and Stability in Federated Learning: A Game-theoretic Approach
Kate Donahue · Jon Kleinberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Learning of Compositional Energy Concepts
Yilun Du · Shuang Li · Yash Sharma · Josh Tenenbaum · Igor Mordatch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Salar Fattahi · Andres Gomez
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Knapsack with Frequency Predictions
Sungjin Im · Ravi Kumar · Mahshid Montazer Qaem · Manish Purohit
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara · Brian Chmiel · Moshe Island · Ron Banner · Joseph Naor · Daniel Soudry
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Who Leads and Who Follows in Strategic Classification?
Tijana Zrnic · Eric Mazumdar · Shankar Sastry · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Test-time Collective Prediction
Celestine Mendler-Dünner · Wenshuo Guo · Stephen Bates · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang · Andi Zhang · Steven McDonagh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Heavy Ball Momentum for Conditional Gradient
Bingcong Li · Alireza Sadeghi · Georgios Giannakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Chengshuai Shi · Haifeng Xu · Wei Xiong · Cong Shen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic $L^\natural$-convex Function Minimization
Haixiang Zhang · Zeyu Zheng · Javad Lavaei
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Individual Privacy Accounting via a Rényi Filter
Vitaly Feldman · Tijana Zrnic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Non-asymptotic Error Bounds for Bidirectional GANs
Shiao Liu · Yunfei Yang · Jian Huang · Yuling Jiao · Yang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
Hang Wang · Sen Lin · Junshan Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Boosting with Multiple Sources
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multi-Scale Representation Learning on Proteins
Vignesh Ram Somnath · Charlotte Bunne · Andreas Krause
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Bayesian Bellman Operators
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TAAC: Temporally Abstract Actor-Critic for Continuous Control
Haonan Yu · Wei Xu · Haichao Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss · Varun Jampani · Raphael Braun · Ce Liu · Jonathan Barron · Hendrik PA Lensch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang · Samyak Gupta · Zhao Song · Kai Li · Sanjeev Arora
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi · Victoria Dean · Deepak Pathak · Abhinav Gupta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding · Moritz Hardt · John Miller · Ludwig Schmidt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers · Ximing Lu · Jack Hessel · Youngjae Yu · Jae Sung Park · Jize Cao · Ali Farhadi · Yejin Choi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown · Marco Gaboardi · Adam Smith · Jonathan Ullman · Lydia Zakynthinou
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Random Order Online Optimization
Uri Sherman · Tomer Koren · Yishay Mansour
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs · Emmanuel Candes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the interplay between data structure and loss function in classification problems
Stéphane d'Ascoli · Marylou Gabrié · Levent Sagun · Giulio Biroli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Shape As Points: A Differentiable Poisson Solver
Songyou Peng · Chiyu Jiang · Yiyi Liao · Michael Niemeyer · Marc Pollefeys · Andreas Geiger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily · Cristóbal Guzmán · Michael Menart
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Generate Visual Questions with Noisy Supervision
Shen Kai · Lingfei Wu · Siliang Tang · Yueting Zhuang · zhen he · Zhuoye Ding · Yun Xiao · Bo Long
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
User-Level Differentially Private Learning via Correlated Sampling
Badih Ghazi · Ravi Kumar · Pasin Manurangsi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas · Meir Feder · Tal Hassner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki · Oumar Kaba · Yoshua Bengio · Aaron Courville · Doina Precup · Guillaume Lajoie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations
Zhichun Huang · Shaojie Bai · J. Zico Kolter
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Aurelien Bibaut · Nathan Kallus · Maria Dimakopoulou · Antoine Chambaz · Mark van der Laan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Collaborating with Humans without Human Data
DJ Strouse · Kevin McKee · Matt Botvinick · Edward Hughes · Richard Everett
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Training Over-parameterized Models with Non-decomposable Objectives
Harikrishna Narasimhan · Aditya Menon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan · Yifei Shen · Yao Zhang · Xiang Li · Dongsheng Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi · Nicolas THOME · Clément Rambour · Nicolas Audebert · Xavier Bitot
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Data driven semi-supervised learning
Maria-Florina Balcan · Dravyansh Sharma
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Sakshi Varshney · Vinay Kumar Verma · P. K. Srijith · Lawrence Carin · Piyush Rai
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
Zihang Meng · Rudrasis Chakraborty · Vikas Singh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning with Label Differential Privacy
Badih Ghazi · Noah Golowich · Ravi Kumar · Pasin Manurangsi · Chiyuan Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian · Tengyu Ma · Jason Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
Mikita Dvornik · Isma Hadji · Konstantinos Derpanis · Animesh Garg · Allan Jepson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li · Muhammad Ahmed Raza · Wenbin Hu · Zhaole Sun · Robert Fisher
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
Arvind Mahankali · David Woodruff
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke · Oiwi Parker Jones · Ingmar Posner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reliable Decisions with Threshold Calibration
Roshni Sahoo · Shengjia Zhao · Alyssa Chen · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Taebum Kim · Eunji Jeong · Geon-Woo Kim · Yunmo Koo · Sehoon Kim · Gyeongin Yu · Byung-Gon Chun
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Average-Reward Learning and Planning with Options
Yi Wan · Abhishek Naik · Rich Sutton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Schedule Heuristics in Branch and Bound
Antonia Chmiela · Elias Khalil · Ambros Gleixner · Andrea Lodi · Sebastian Pokutta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
XCiT: Cross-Covariance Image Transformers
Alaaeldin Ali · Hugo Touvron · Mathilde Caron · Piotr Bojanowski · Matthijs Douze · Armand Joulin · Ivan Laptev · Natalia Neverova · Gabriel Synnaeve · Jakob Verbeek · Herve Jegou
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Can Qin · Handong Zhao · Lichen Wang · Huan Wang · Yulun Zhang · Yun Fu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass versus Binary Differentially Private PAC Learning
Satchit Sivakumar · Mark Bun · Marco Gaboardi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
EditGAN: High-Precision Semantic Image Editing
Huan Ling · Karsten Kreis · Daiqing Li · Seung Wook Kim · Antonio Torralba · Sanja Fidler
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Best-of-All-Worlds Online Learning with Feedback Graphs
Liad Erez · Tomer Koren
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Costs of Linear Neural Networks: Analysis and Design
Zhen Dai · Mina Karzand · Nathan Srebro
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Tangent Kernel Maximum Mean Discrepancy
Xiuyuan Cheng · Yao Xie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
LEADS: Learning Dynamical Systems that Generalize Across Environments
Yuan Yin · Ibrahim Ayed · Emmanuel de Bézenac · Nicolas Baskiotis · Patrick Gallinari
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Grammar-Based Grounded Lexicon Learning
Jiayuan Mao · Freda Shi · Jiajun Wu · Roger Levy · Josh Tenenbaum
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentiable Multiple Shooting Layers
Stefano Massaroli · Michael Poli · Sho Sonoda · Taiji Suzuki · Jinkyoo Park · Atsushi Yamashita · Hajime Asama
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Two-sided fairness in rankings via Lorenz dominance
Virginie Do · Sam Corbett-Davies · Jamal Atif · Nicolas Usunier
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia · WenXin Dong · Noah Goodman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Sampling from Distributions
Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith · Marika Swanberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Lattice partition recovery with dyadic CART
OSCAR HERNAN MADRID PADILLA · Yi Yu · Alessandro Rinaldo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Curriculum Offline Imitating Learning
Minghuan Liu · Hanye Zhao · Zhengyu Yang · Jian Shen · Weinan Zhang · Li Zhao · Tie-Yan Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Graph Classification over Non-IID Graphs
Han Xie · Jing Ma · Li Xiong · Carl Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
Jayant Jain · Vrittika Bagadia · Sahil Manchanda · Sayan Ranu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou · Amlan Kar · Maria Shugrina · Karsten Kreis · Andreas Geiger · Sanja Fidler
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil · Arjun Majumdar · Harsh Agrawal · Stefan Lee · Dhruv Batra
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Publishable Per-instance Privacy
Rachel Redberg · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Nicolas Loizou · Hugo Berard · Gauthier Gidel · Ioannis Mitliagkas · Simon Lacoste-Julien
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Replay-Guided Adversarial Environment Design
Minqi Jiang · Michael Dennis · Jack Parker-Holder · Jakob Foerster · Edward Grefenstette · Tim Rocktäschel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang · Andrew Geng · Yixuan Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Good Classification Measures and How to Find Them
Martijn Gösgens · Anton Zhiyanov · Aleksey Tikhonov · Liudmila Prokhorenkova
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Landscape analysis of an improved power method for tensor decomposition
Joe Kileel · Timo Klock · João M Pereira
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie · Arash Vahdat · Anima Anandkumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning
Antonious Girgis · Deepesh Data · Suhas Diggavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu · Wei-Cheng Chang · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Score-based Generative Modeling in Latent Space
Arash Vahdat · Karsten Kreis · Jan Kautz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fair Classification with Adversarial Perturbations
L. Elisa Celis · Anay Mehrotra · Nisheeth Vishnoi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic Bias-Reduced Gradient Methods
Hilal Asi · Yair Carmon · Arun Jambulapati · Yujia Jin · Aaron Sidford
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explicit loss asymptotics in the gradient descent training of neural networks
Maksim Velikanov · Dmitry Yarotsky
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Parameter Inference with Bifurcation Diagrams
Gregory Szep · Neil Dalchau · Attila Csikász-Nagy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Logarithmic Regret from Sublinear Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
How to transfer algorithmic reasoning knowledge to learn new algorithms?
Louis-Pascal Xhonneux · Andreea-Ioana Deac · Petar Veličković · Jian Tang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Double/Debiased Machine Learning for Dynamic Treatment Effects
Greg Lewis · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Instance-Conditioned GAN
Arantxa Casanova · Marlene Careil · Jakob Verbeek · Michal Drozdzal · Adriana Romero Soriano
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dynamic influence maximization
Binghui Peng
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg · Arman Cohan · Kyle Lo · Iz Beltagy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TokenLearner: Adaptive Space-Time Tokenization for Videos
Michael Ryoo · AJ Piergiovanni · Anurag Arnab · Mostafa Dehghani · Anelia Angelova
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
Tommaso d'Orsi · Chih-Hung Liu · Rajai Nasser · Gleb Novikov · David Steurer · Stefan Tiegel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Perturb-and-max-product: Sampling and learning in discrete energy-based models
Miguel Lazaro-Gredilla · Antoine Dedieu · Dileep George
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Learning under Geometric Stability
Alberto Bietti · Luca Venturi · Joan Bruna
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Algorithms for Multi-Agent Multi-Armed Bandits
Safwan Hossain · Evi Micha · Nisarg Shah
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac · Petar Veličković · Ognjen Milinkovic · Pierre-Luc Bacon · Jian Tang · Mladen Nikolic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
David Ding · Felix Hill · Adam Santoro · Malcolm Reynolds · Matt Botvinick
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online false discovery rate control for anomaly detection in time series
Quentin Rebjock · Baris Kurt · Tim Januschowski · Laurent Callot
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Topological Attention for Time Series Forecasting
Sebastian Zeng · Florian Graf · Christoph Hofer · Roland Kwitt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Best-case lower bounds in online learning
Cristóbal Guzmán · Nishant Mehta · Ali Mortazavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Arnaud Fickinger · Hengyuan Hu · Brandon Amos · Stuart Russell · Noam Brown
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula · Georgios Smyrnis · Matt Jordan · Alex Dimakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri · Siliang Zeng · Mingyi Hong · Hoi-To Wai · Zhaoran Wang · Zhuoran Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Similarity and Matching of Neural Network Representations
Adrián Csiszárik · Péter Kőrösi-Szabó · Ákos Matszangosz · Gergely Papp · Dániel Varga
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J Terry · Benjamin Black · Nathaniel Grammel · Mario Jayakumar · Ananth Hari · Ryan Sullivan · Luis S Santos · Clemens Dieffendahl · Caroline Horsch · Rodrigo Perez-Vicente · Niall Williams · Yashas Lokesh · Praveen Ravi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
Gabriele Farina · Tuomas Sandholm
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo · Yongkang Wong · Mohan Kankanhalli · Qi Zhao
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Gang of Adversarial Bandits
Mark Herbster · Stephen Pasteris · Fabio Vitale · Massimiliano Pontil
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Yaofeng Desmond Zhong · Biswadip Dey · Amit Chakraborty
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun · Chris Lang · Duane Boning
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Settling the Variance of Multi-Agent Policy Gradients
Jakub Grudzien Kuba · Muning Wen · Linghui Meng · shangding gu · Haifeng Zhang · David Mguni · Jun Wang · Yaodong Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Max Ryabinin · Andrey Malinin · Mark Gales
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to See by Looking at Noise
Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu · Noah Goodman · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
General Nonlinearities in SO(2)-Equivariant CNNs
Daniel Franzen · Michael Wand
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi · Jesse Zhang · Shao-Hua Sun · Joseph Lim
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas FEL · Remi Cadene · Mathieu Chalvidal · Matthieu Cord · David Vigouroux · Thomas Serre
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao Liu · Ruida Zhou · Dileep Kalathil · P. R. Kumar · Chao Tian
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Pranav Subramani · Nicholas Vadivelu · Gautam Kamath
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural Trees for Learning on Graphs
Rajat Talak · Siyi Hu · Lisa Peng · Luca Carlone
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
Ekaterina Lobacheva · Maxim Kodryan · Nadezhda Chirkova · Andrey Malinin · Dmitry Vetrov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang · Wei Zhan · Masayoshi Tomizuka
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Compositional Transformers for Scene Generation
Dor Arad Hudson · Larry Zitnick
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
Hamza Fawzi · Harry Goulbourne
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
Yuchao Qin · Fergus Imrie · Alihan Hüyük · Daniel Jarrett · alexander gimson · Mihaela van der Schaar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali · Hassan Ashtiani · Christopher Liaw
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Clustering Under a Bounded Cost
Seyed Esmaeili · Brian Brubach · Aravind Srinivasan · John Dickerson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
Josh Rozner · Christopher Potts · Kyle Mahowald
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
Brian Brubach · Nathaniel Grammel · Will Ma · Aravind Srinivasan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Empirical Risk Minimization under the Fairness Lens
Cuong Tran · My Dinh · Ferdinando Fioretto
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
Jonathan Chang · Masatoshi Uehara · Dhruv Sreenivas · Rahul Kidambi · Wen Sun
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Continual Auxiliary Task Learning
Matthew McLeod · Chunlok Lo · Matthew Schlegel · Andrew Jacobsen · Raksha Kumaraswamy · Martha White · Adam White
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen · Hao Su · Xiaolong Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Characterizing the risk of fairwashing
Ulrich Aïvodji · Hiromi Arai · Sébastien Gambs · Satoshi Hara
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang · Lingjie Liu · Yuan Liu · Christian Theobalt · Taku Komura · Wenping Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
Harshavardhan Kamarthi · Lingkai Kong · Alexander Rodriguez · Chao Zhang · B. Aditya Prakash
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq · Giovanni Neglia · Aurélien Bellet · Laetitia Kameni · Richard Vidal
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich · Karsten Roth · Samarth Sinha · Ludwig Schmidt · Marzyeh Ghassemi · Bjorn Ommer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Sidak Pal Singh · Gregor Bachmann · Thomas Hofmann
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen · Neev Parikh · Omer Gottesman · George Konidaris
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu · Yisen Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung · Willie Neiswanger · Ian Char · Jeff Schneider
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
Romain Laroche · Remi Tachet des Combes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Machine Unlearning
Varun Gupta · Christopher Jung · Seth Neel · Aaron Roth · Saeed Sharifi-Malvajerdi · Chris Waites
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeRV: Neural Representations for Videos
Hao Chen · Bo He · Hanyu Wang · Yixuan Ren · Ser Nam Lim · Abhinav Shrivastava
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Speech-T: Transducer for Text to Speech and Beyond
Jiawei Chen · Xu Tan · Yichong Leng · Jin Xu · Guihua Wen · Tao Qin · Tie-Yan Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Container: Context Aggregation Networks
peng gao · Jiasen Lu · Hongsheng Li · Roozbeh Mottaghi · Aniruddha Kembhavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar · David W Hogg · Kate Storey-Fisher · Weichi Yao · Ben Blum-Smith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
Liwang Zhu · Qi Bao · Zhongzhi Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini · Orestis Paraskevas · Samet Oymak · Christos Thrampoulidis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hierarchical Reinforcement Learning with Timed Subgoals
Nico Gürtler · Dieter Büchler · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa · Issei Sato
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in two-player zero-sum partially observable Markov games with perfect recall
Tadashi Kozuno · Pierre Ménard · Remi Munos · Michal Valko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture Proportion Estimation and PU Learning:A Modern Approach
Saurabh Garg · Yifan Wu · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Souvik Kundu · Qirui Sun · Yao Fu · Massoud Pedram · Peter Beerel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Ali Hashemi · Yijing Gao · Chang Cai · Sanjay Ghosh · Klaus-Robert Müller · Srikantan Nagarajan · Stefan Haufe
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Joint Inference for Neural Network Depth and Dropout Regularization
Kishan K C · Rui Li · MohammadMahdi Gilany
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile van Krieken · Jakub Tomczak · Annette Ten Teije
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Estimating the Long-Term Effects of Novel Treatments
Keith Battocchi · Eleanor Dillon · Maggie Hei · Greg Lewis · Miruna Oprescu · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang · Wei-Cheng Chang · Hsiang-Fu Yu · Inderjit Dhillon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploiting Opponents Under Utility Constraints in Sequential Games
Martino Bernasconi · Federico Cacciamani · Simone Fioravanti · Nicola Gatti · Alberto Marchesi · Francesco Trovò
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Networks Provably Classify Data on Curves
Tingran Wang · Sam Buchanan · Dar Gilboa · John Wright
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Xiao Jin · Pin-Yu Chen · Chia-Yi Hsu · Chia-Mu Yu · Tianyi Chen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Functional Variational Inference based on Stochastic Process Generators
Chao Ma · José Miguel Hernández-Lobato
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated-EM with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut · Gersende Fort · Eric Moulines · Geneviève Robin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Hyper-Flow Diffusion
Kimon Fountoulakis · Pan Li · Shenghao Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman · Kfir Levy · Ido Hakimi · Mark Silberstein
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adapting to function difficulty and growth conditions in private optimization
Hilal Asi · Daniel Levy · John Duchi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dense Keypoints via Multiview Supervision
Zhixuan Yu · Haozheng Yu · Long Sha · Sujoy Ganguly · Hyun Soo Park
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains
Daron Anderson · Douglas Leith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Explicit Duration Switching Models for Time Series
Abdul Fatir Ansari · Konstantinos Benidis · Richard Kurle · Ali Caner Turkmen · Harold Soh · Alexander Smola · Bernie Wang · Tim Januschowski
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Support vector machines and linear regression coincide with very high-dimensional features
Navid Ardeshir · Clayton Sanford · Daniel Hsu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Bruno Loureiro · Gabriele Sicuro · Cedric Gerbelot · Alessandro Pacco · Florent Krzakala · Lenka Zdeborová
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Post-processing for Individual Fairness
Felix Petersen · Debarghya Mukherjee · Yuekai Sun · Mikhail Yurochkin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
Vivien Cabannes · Loucas Pillaud-Vivien · Francis Bach · Alessandro Rudi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul · Surya Ganguli · Gintare Karolina Dziugaite
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixability made efficient: Fast online multiclass logistic regression
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha · Jiaming Song · Chenlin Meng · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan · Kristen Grauman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Weak Supervision
Salva Rühling Cachay · Benedikt Boecking · Artur Dubrawski
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Ensembling Graph Predictions for AMR Parsing
Thanh Lam Hoang · Gabriele Picco · Yufang Hou · Young-Suk Lee · Lam Nguyen · Dzung Phan · Vanessa Lopez · Ramon Fernandez Astudillo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Last-iterate Convergence in Extensive-Form Games
Chung-Wei Lee · Christian Kroer · Haipeng Luo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Regret Bounds for Tracking Experts with Memory
James Robinson · Mark Herbster
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally private online change point detection
Tom Berrett · Yi Yu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Pipeline Combinators for Gradual AutoML
Guillaume Baudart · Martin Hirzel · Kiran Kate · Parikshit Ram · Avi Shinnar · Jason Tsay
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
Yang Liu · Jialu Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng · Tabish Rashid · Christian Schroeder de Witt · Pierre-Alexandre Kamienny · Philip Torr · Wendelin Boehmer · Shimon Whiteson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
Yan-Bo Lin · Hung-Yu Tseng · Hsin-Ying Lee · Yen-Yu Lin · Ming-Hsuan Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang · Vidya Muthukumar · Christos Thrampoulidis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Glance-and-Gaze Vision Transformer
Qihang Yu · Yingda Xia · Yutong Bai · Yongyi Lu · Alan Yuille · Wei Shen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Adaptation to Label Distribution Shift
Ruihan Wu · Chuan Guo · Yi Su · Kilian Weinberger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Efficient Training of Retrieval Models using Negative Cache
Erik Lindgren · Sashank Reddi · Ruiqi Guo · Sanjiv Kumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
Hongyu Gong · Yun Tang · Juan Pino · Xian Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
Mohamad Amin Sharifi Kolarijani · Gyula Max · Peyman Mohajerin Esfahani
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal · Peter Kairouz · Ken Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Probabilistic Forecasting: A Level-Set Approach
Hilaf Hasson · Bernie Wang · Tim Januschowski · Jan Gasthaus
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Ho Chit Siu · Jaime Peña · Edenna Chen · Yutai Zhou · Victor Lopez · Kyle Palko · Kimberlee Chang · Ross Allen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Hugo Richard · Pierre Ablin · Bertrand Thirion · Alexandre Gramfort · Aapo Hyvarinen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
Morgane Austern · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally differentially private estimation of functionals of discrete distributions
Cristina Butucea · Yann ISSARTEL
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof · Eldad Haber · Eran Treister
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo · Dominic Coey · Mikael Konutgan · Wenting Li · Chris Schoener · Matt Goldman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
Vishnu Veerathu · Arun Rajkumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Ucar · Ehsan Hajiramezanali · Lindsay Edwards
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Hard Optimization Problems: A Data Generation Perspective
James Kotary · Ferdinando Fioretto · Pascal Van Hentenryck
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman · Stephen Bates · Yaniv Romano
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Group Equivariant Subsampling
Jin Xu · Hyunjik Kim · Thomas Rainforth · Yee Teh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Tree in Tree: from Decision Trees to Decision Graphs
Bingzhao Zhu · Mahsa Shoaran
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Robust Allocations with Diversity Constraints
Zeyu Shen · Lodewijk Gelauff · Ashish Goel · Aleksandra Korolova · Kamesh Munagala
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas · Naveen Nagaraja · Stratis Gavves
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen · Kevin Lu · Aravind Rajeswaran · Kimin Lee · Aditya Grover · Misha Laskin · Pieter Abbeel · Aravind Srinivas · Igor Mordatch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Pure Exploration via Frank-Wolfe
Po-An Wang · Ruo-Chun Tzeng · Alexandre Proutiere
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Implicit Generative Copulas
Tim Janke · Mohamed Ghanmi · Florian Steinke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani · Arne Nix · Konstantin Willeke · Santiago Cadena · Kelli Restivo · George Denfield · Andreas Tolias · Fabian Sinz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil · Ran El-Yaniv
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Reid McIlroy-Young · Russell Wang · Siddhartha Sen · Jon Kleinberg · Ashton Anderson
[ Slides
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning Beyond Linear Prediction Functions
Ziping Xu · Ambuj Tewari
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann · Semon Rezchikov · Bill Freeman · Josh Tenenbaum · Fredo Durand
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Twice regularized MDPs and the equivalence between robustness and regularization
Esther Derman · Matthieu Geist · Shie Mannor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Local policy search with Bayesian optimization
Sarah Müller · Alexander von Rohr · Sebastian Trimpe
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Margin-Independent Online Multiclass Learning via Convex Geometry
Guru Guruganesh · Allen Liu · Jon Schneider · Joshua Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Never Go Full Batch (in Stochastic Convex Optimization)
Idan Amir · Yair Carmon · Tomer Koren · Roi Livni
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky · Taedong Yun · Cory Y McLean · Alexander D'Amour
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan · Mudit Verma · Sihang Guo · Ruohan Zhang · Subbarao Kambhampati
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Michael Iuzzolino · Michael Mozer · Samy Bengio
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman · Matthew Reimherr · Aleksandra Slavković
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
Xingchao Liu · Xin Tong · Qiang Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
Menachem Sadigurschi · Uri Stemmer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Yunhui Long · Boxin Wang · Zhuolin Yang · Bhavya Kailkhura · Aston Zhang · Carl Gunter · Bo Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning for Event-based Visuomotor Policies
Sai Vemprala · Sami Mian · Ashish Kapoor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
DRIVE: One-bit Distributed Mean Estimation
Shay Vargaftik · Ran Ben-Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben-Itzhak · Michael Mitzenmacher
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Aran Nayebi · Alexander Attinger · Malcolm Campbell · Kiah Hardcastle · Isabel Low · Caitlin S Mallory · Gabriel Mel · Ben Sorscher · Alex H Williams · Surya Ganguli · Lisa Giocomo · Dan Yamins
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu · Giuseppe Vietri · Steven Wu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Streaming Linear System Identification with Reverse Experience Replay
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
Clement Gehring · Kenji Kawaguchi · Jiaoyang Huang · Leslie Kaelbling
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes · Minjia Zhang · Yuxiong He · Bo Wu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur · Manjot Bilkhu · Javier Movellan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li · Alex Boyd · Padhraic Smyth · Stephan Mandt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A/B Testing for Recommender Systems in a Two-sided Marketplace
Preetam Nandy · Divya Venugopalan · Chun Lo · Shaunak Chatterjee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On Large-Cohort Training for Federated Learning
Zachary Charles · Zachary Garrett · Zhouyuan Huo · Sergei Shmulyian · Virginia Smith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan · Padhraic Smyth · Mark Steyvers
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Tight Communication Lower Bounds for Distributed Optimisation
Janne H. Korhonen · Dan Alistarh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Searching for Efficient Transformers for Language Modeling
David So · Wojciech Mańke · Hanxiao Liu · Zihang Dai · Noam Shazeer · Quoc V Le
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Periodic Activation Functions Induce Stationarity
Lassi Meronen · Martin Trapp · Arno Solin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
Hermanni Hälvä · Sylvain Le Corff · Luc Lehéricy · Jonathan So · Yongjie Zhu · Elisabeth Gassiat · Aapo Hyvarinen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Motion Representation Learning with Capsule Autoencoders
Ziwei Xu · Xudong Shen · Yongkang Wong · Mohan Kankanhalli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Breaking the centralized barrier for cross-device federated learning
Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
A. Feder Cooper · Yucheng Lu · Jessica Forde · Christopher De Sa
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Distance Embeddings for Biological Sequences
Gabriele Corso · Zhitao Ying · Michal Pándy · Petar Veličković · Jure Leskovec · Pietro Liò
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
Walter Gerych · Thomas Hartvigsen · Luke Buquicchio · Emmanuel Agu · Elke A. Rundensteiner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
Ron Dorfman · Idan Shenfeld · Aviv Tamar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Zhiqi Bu · Sivakanth Gopi · Janardhan Kulkarni · Yin Tat Lee · Judy Hanwen Shen · Uthaipon Tantipongpipat
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Least Square Calibration for Peer Reviews
Sijun Tan · Jibang Wu · Xiaohui Bei · Haifeng Xu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Reconstruction: Partially Local Federated Learning
Karan Singhal · Hakim Sidahmed · Zachary Garrett · Shanshan Wu · John Rush · Sushant Prakash
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
Nate Veldt · Austin Benson · Jon Kleinberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk-Averse Bayes-Adaptive Reinforcement Learning
Marc Rigter · Bruno Lacerda · Nick Hawes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Ofir Lindenbaum · Uri Shaham · Erez Peterfreund · Jonathan Svirsky · Nicolas Casey · Yuval Kluger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette · Martin J Wainwright · Emma Brunskill
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Saddle-Point Problems Under Data Similarity
Aleksandr Beznosikov · Gesualdo Scutari · Alexander Rogozin · Alexander Gasnikov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia · Jiayuan Ye · Reza Shokri
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in Non-Cooperative Configurable Markov Decision Processes
Giorgia Ramponi · Alberto Maria Metelli · Alessandro Concetti · Marcello Restelli
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stronger NAS with Weaker Predictors
Junru Wu · Xiyang Dai · Dongdong Chen · Yinpeng Chen · Mengchen Liu · Ye Yu · Zhangyang Wang · Zicheng Liu · Mei Chen · Lu Yuan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
Yang Li · Si Si · Gang Li · Cho-Jui Hsieh · Samy Bengio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee · Ali Tajer · Pin-Yu Chen · Payel Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
Yuan Chen · Wenbo Fei · Qinxia Wang · Donglin Zeng · Yuanjia Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Shahrzad Haddadan · Yue Zhuang · Cyrus Cousins · Eli Upfal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly · Abhishek Gupta · Carlos Florensa · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Jingyu Yang · Sheng Shen · Huanjing Yue · Kun Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding · Kezhi Kong · Jingling Li · Chen Zhu · John Dickerson · Furong Huang · Tom Goldstein
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
Joshua Cutler · Dmitriy Drusvyatskiy · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Select Exogenous Events for Marked Temporal Point Process
Ping Zhang · Rishabh Iyer · Ashish Tendulkar · Gaurav Aggarwal · Abir De
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deconvolutional Networks on Graph Data
Jia Li · Jiajin Li · Yang Liu · Jianwei Yu · Yueting Li · Hong Cheng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Geometry Processing with Neural Fields
Guandao Yang · Serge Belongie · Bharath Hariharan · Vladlen Koltun
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu · Sicun Gao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song · Jie Luo · Lei Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song · Ruitu Xu · John Lafferty
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Identity testing for Mallows model
Róbert Busa-Fekete · Dimitris Fotakis · Balazs Szorenyi · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Slice Sampling Reparameterization Gradients
David Zoltowski · Diana Cai · Ryan Adams
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous Latent Process Flows
Ruizhi Deng · Marcus Brubaker · Greg Mori · Andreas Lehrmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
Ze Wang · Zichen Miao · Xiantong Zhen · Qiang Qiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An · Seungyong Moon · Jang-Hyun Kim · Hyun Oh Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Observation-Free Attacks on Stochastic Bandits
Yinglun Xu · Bhuvesh Kumar · Jacob Abernethy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
Shoulong Zhang · shuai li · Aimin Hao · Hong Qin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Discovering and Achieving Goals via World Models
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Adaptive Diffusion in Graph Neural Networks
Jialin Zhao · Yuxiao Dong · Ming Ding · Evgeny Kharlamov · Jie Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Techniques for Symbol Grounding with SATNet
Sever Topan · David Rolnick · Xujie Si
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Conservative Offline Distributional Reinforcement Learning
Jason Yecheng Ma · Dinesh Jayaraman · Osbert Bastani
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
True Few-Shot Learning with Language Models
Ethan Perez · Douwe Kiela · Kyunghyun Cho
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai · Zhitao Ying · Hongyu Ren · Jure Leskovec
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen · Wang Zhang · Alexandre Megretski · Luca Daniel · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani · Christos Thrampoulidis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky · Harsh Mehta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Learning of Optimal Auctions
Wenshuo Guo · Michael Jordan · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Time-series Generation by Contrastive Imitation
Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Unified View of cGANs with and without Classifiers
Si-An Chen · Chun-Liang Li · Hsuan-Tien Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy · Shaojie Bai · Zachary Manchester · J. Zico Kolter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Bounds all around: training energy-based models with bidirectional bounds
Cong Geng · Jia Wang · Zhiyong Gao · Jes Frellsen · Søren Hauberg
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri · PRANAY SHARMA · Haibo Yang · Mingyi Hong · Jia Liu · Ketan Rajawat · Pramod Varshney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong · Kamalika Chaudhuri
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim · Felix Hohne · Xiuyu Li · Sijia Linda Huang · Vaishnavi Gupta · Omkar Bhalerao · Ser Nam Lim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Controlling Neural Networks with Rule Representations
Sungyong Seo · Sercan Arik · Jinsung Yoon · Xiang Zhang · Kihyuk Sohn · Tomas Pfister
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Locality Sensitive Teaching
Zhaozhuo Xu · Beidi Chen · Chaojian Li · Weiyang Liu · Le Song · Yingyan Lin · Anshumali Shrivastava
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
Kohei Miyaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam · Chun-Fu (Richard) Chen · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Richard J. Radke
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia · Holly Jackson · Yunsheng Tian · Jie Xu · Wojciech Matusik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Matrix encoding networks for neural combinatorial optimization
Yeong-Dae Kwon · Jinho Choo · Iljoo Yoon · Minah Park · Duwon Park · Youngjune Gwon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang · Zhongwang Zhang · Tao Luo · Zhiqin J Xu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai · Weiran Wang · Carla Gomes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
Xinyun Chen · Dawn Song · Yuandong Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng · Muhan Zhang · Yinglong Xia · Ajitesh Srivastava · Andrey Malevich · Rajgopal Kannan · Viktor Prasanna · Long Jin · Ren Chen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter · Frank Noe · Djork-Arné Clevert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Topographic VAEs learn Equivariant Capsules
T. Anderson Keller · Max Welling
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Huangjie Zheng · Mingyuan Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han · Chongyi Zheng · Harris Chan · Keiran Paster · Michael Zhang · Jimmy Ba
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Heuristic-Guided Reinforcement Learning
Ching-An Cheng · Andrey Kolobov · Adith Swaminathan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang · Guoliang Kang · Yi Yang · Yunchao Wei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Sucheol Lee · Donghwan Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-learning to Improve Pre-training
Aniruddh Raghu · Jonathan Lorraine · Simon Kornblith · Matthew McDermott · David Duvenaud
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
Haoping Bai · Meng Cao · Ping Huang · Jiulong Shan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Representing Hyperbolic Space Accurately using Multi-Component Floats
Tao Yu · Christopher De Sa
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Tatiana Likhomanenko · Qiantong Xu · Gabriel Synnaeve · Ronan Collobert · Alex Rogozhnikov
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Equivalence between Neural Network and Support Vector Machine
Yilan Chen · Wei Huang · Lam Nguyen · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka · Daniel Kunin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Ruiqi Gao · Jianwen Xie · Xue-Xin Wei · Song-Chun Zhu · Ying Nian Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Predictable Control
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Towards understanding retrosynthesis by energy-based models
Ruoxi Sun · Hanjun Dai · Li Li · Steven Kearnes · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih · Dorsa Sadigh · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Model Personalization
Prateek Jain · John Rush · Adam Smith · Shuang Song · Abhradeep Guha Thakurta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan · Ali Madani · Ben Krause · Nikhil Naik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Tanner Fiez · Lillian Ratliff · Eric Mazumdar · Evan Faulkner · Adhyyan Narang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Grounding Representation Similarity Through Statistical Testing
Frances Ding · Jean-Stanislas Denain · Jacob Steinhardt
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Associative Memories via Predictive Coding
Tommaso Salvatori · Yuhang Song · Yujian Hong · Lei Sha · Simon Frieder · Zhenghua Xu · Rafal Bogacz · Thomas Lukasiewicz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
How can classical multidimensional scaling go wrong?
Rishi Sonthalia · Greg Van Buskirk · Benjamin Raichel · Anna Gilbert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Spencer Frei · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revisiting Smoothed Online Learning
Lijun Zhang · Wei Jiang · Shiyin Lu · Tianbao Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng · Marco Pavone · Sachin Katti · Sandeep Chinchali · Ao Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Constrained Robust Submodular Partitioning
Shengjie Wang · Tianyi Zhou · Chandrashekhar Lavania · Jeff A Bilmes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Generative Utility of Cyclic Conditionals
Chang Liu · Haoyue Tang · Tao Qin · Jintao Wang · Tie-Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
Lulu Zheng · Jiarui Chen · Jianhao Wang · Jiamin He · Yujing Hu · Yingfeng Chen · Changjie Fan · Yang Gao · Chongjie Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang · Junyi Li · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara · Yuto Miyatake · Takaharu Yaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness in Ranking under Uncertainty
Ashudeep Singh · David Kempe · Thorsten Joachims
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Jayadev Acharya · Clement Canonne · Yuhan Liu · Ziteng Sun · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Shape Metrics on Neural Representations
Alex H Williams · Erin Kunz · Simon Kornblith · Scott Linderman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding and Improving Early Stopping for Learning with Noisy Labels
Yingbin Bai · Erkun Yang · Bo Han · Yanhua Yang · Jiatong Li · Yinian Mao · Gang Niu · Tongliang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The Benefits of Implicit Regularization from SGD in Least Squares Problems
Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Dean Foster · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Automated Dynamic Mechanism Design
Hanrui Zhang · Vincent Conitzer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to delegate for large-scale vehicle routing
Sirui Li · Zhongxia Yan · Cathy Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
Qi Deng · Wenzhi Gao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
FEIHU ZHANG · Philip Torr · Rene Ranftl · Stephan Richter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Self-Adaptable Point Processes with Nonparametric Time Decays
Zhimeng Pan · Zheng Wang · Jeff M Phillips · Shandian Zhe
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Inference with Neural Interpreters
Nasim Rahaman · Muhammad Waleed Gondal · Shruti Joshi · Peter Gehler · Yoshua Bengio · Francesco Locatello · Bernhard Schölkopf
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Probabilistic Transformer For Time Series Analysis
Binh Tang · David S Matteson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir Ivanov · Konstantinos Michmizos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang · Daeyeon Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao · Karan Samel · Binghong Chen · lee song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
Gregory Dexter · Kevin Bello · Jean Honorio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Learning with Adaptive Clipping
Galen Andrew · Om Thakkar · Brendan McMahan · Swaroop Ramaswamy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness via Representation Neutralization
Mengnan Du · Subhabrata Mukherjee · Guanchu Wang · Ruixiang Tang · Ahmed Awadallah · Xia Hu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab · Yang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TriBERT: Human-centric Audio-visual Representation Learning
Tanzila Rahman · Mengyu Yang · Leonid Sigal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Fan Bao · Guoqiang Wu · Chongxuan LI · Jun Zhu · Bo Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou · Weizhong Zhang · Zonghao Chen · SHIZHE DIAO · Tong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu · Kai Li · Weiyi Zhang · Yi Luo · Jean-Marie Lemercier · Timo Gerkmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Statistical Assessment of Neural Network Corruption Robustness
Karim TIT · Teddy Furon · Mathias ROUSSET
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang · Jingyang Lin · Jingjing Zou · Yingwei Pan · Ting Yao · Tao Mei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang · Xiaoteng Ma · Chenghao Li · Zewu Zheng · Qiyuan Zhang · Gao Huang · Jun Yang · Qianchuan Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang · David Wipf · Quan Gan · Le Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Long Short-Term Transformer for Online Action Detection
Mingze Xu · Yuanjun Xiong · Hao Chen · Xinyu Li · Wei Xia · Zhuowen Tu · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess
Gregory Clark
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
Albert Gu · Isys Johnson · Karan Goel · Khaled Saab · Tri Dao · Atri Rudra · Christopher Ré
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong · Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Tudor Dumitras
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu · Paul Grigas
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
Zaiwei Chen · Siva Theja Maguluri · Sanjay Shakkottai · Karthikeyan Shanmugam
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du · Katie Collins · Josh Tenenbaum · Vincent Sitzmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai · Hanxiao Liu · Quoc V Le · Mingxing Tan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
Huaxiu Yao · Ying Wei · Long-Kai Huang · Ding Xue · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fair Sequential Selection Using Supervised Learning Models
Mahdi Khalili · Xueru Zhang · Mahed Abroshan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous-time edge modelling using non-parametric point processes
Xuhui Fan · Bin Li · Feng Zhou · Scott SIsson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Causal Abstractions of Neural Networks
Atticus Geiger · Hanson Lu · Thomas Icard · Christopher Potts
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Optimal Underdamped Langevin MCMC Method
Zhengmian Hu · Feihu Huang · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme Potje · Renato Martins · Felipe Chamone · Erickson Nascimento
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Deflation Process in Over-parametrized Tensor Decomposition
Rong Ge · Yunwei Ren · Xiang Wang · Mo Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli · James Thornton · Jeremy Heng · Arnaud Doucet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgame solving without common knowledge
Brian Zhang · Tuomas Sandholm
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Linear Bandits with Local Differential Privacy
Yuxuan Han · Zhipeng Liang · Yang Wang · Jiheng Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi · Kamyar Azizzadenesheli · Michael O'Connell · Soon-Jo Chung · Yisong Yue
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
Youngkyu Hong · Eunho Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj · Lingyang Chu · Zi Yu Xue · Jian Pei · Lanjun Wang · Peter Cho-Ho Lam · Yong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
Wei Sun · Aojun Zhou · Sander Stuijk · Rob Wijnhoven · Andrew Nelson · Hongsheng Li · Henk Corporaal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan · Lin Ge · Rui Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja · Alex Schwing · Jan Kautz · Arash Vahdat
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski · Jonathan Lacotte · Mert Pilanci · Michael Mahoney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Imitation with Neural Density Models
Kuno Kim · Akshat Jindal · Yang Song · Jiaming Song · Yanan Sui · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Visual Reasoning via Language Guided Neural Module Networks
Arjun Akula · Varun Jampani · Soravit Changpinyo · Song-Chun Zhu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust and differentially private mean estimation
Xiyang Liu · Weihao Kong · Sham Kakade · Sewoong Oh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Benjamin Attal · Eliot Laidlaw · Aaron Gokaslan · Changil Kim · Christian Richardt · James Tompkin · Matthew O'Toole
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Perturbation Theory for the Information Bottleneck
Vudtiwat Ngampruetikorn · David Schwab
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran Dinh · Nhan H Pham · Dzung Phan · Lam Nguyen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu · Krishna Pillutla · Sean Welleck · Sewoong Oh · Yejin Choi · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
Juntang Zhuang · Yifan Ding · Tommy Tang · Nicha Dvornek · Sekhar C Tatikonda · James Duncan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen · Roman Novak · Lechao Xiao · Jaehoon Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi · Yunyue Wei · Yanan Sui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Frederic Koehler · Lijia Zhou · Danica J. Sutherland · Nathan Srebro
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Regulating algorithmic filtering on social media
Sarah Cen · Devavrat Shah
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
Henry C Bendekgey · Erik Sudderth
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah · Krishna Gummadi · Mark Crovella
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Assimilate in Chaotic Dynamical Systems
John McCabe · Jed Brown
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye · Michael Tessler · Josh Tenenbaum · Brenden Lake
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Conflict-Averse Gradient Descent for Multi-task learning
Bo Liu · Xingchao Liu · Xiaojie Jin · Peter Stone · Qiang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li · Xuechen Zhang · Christos Thrampoulidis · Jiasi Chen · Samet Oymak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alex Li · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Clockwork Variational Autoencoders
Vaibhav Saxena · Jimmy Ba · Danijar Hafner
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Mufan Li · Mihai Nica · Dan Roy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Universal Graph Convolutional Networks
Di Jin · Zhizhi Yu · Cuiying Huo · Rui Wang · Xiao Wang · Dongxiao He · Jiawei Han
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
Mihai Fieraru · Mihai Zanfir · Teodor Szente · Eduard Bazavan · Vlad Olaru · Cristian Sminchisescu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differential Privacy Over Riemannian Manifolds
Matthew Reimherr · Karthik Bharath · Carlos Soto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Optimal Predictive Checklists
Haoran Zhang · Quaid Morris · Berk Ustun · Marzyeh Ghassemi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pointwise Bounds for Distribution Estimation under Communication Constraints
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Learning One Hidden Layer ReLU Networks From Queries
Sitan Chen · Adam Klivans · Raghu Meka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Dynamic Trace Estimation
Prathamesh Dharangutte · Christopher Musco
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen · Yuting Wei · Yuejie Chi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang · Zhanghao Wu · Michael Luo · Sven Mika · Joseph Gonzalez · Ion Stoica
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
Krishnakant Saboo · Anirudh Choudhary · Yurui Cao · Gregory Worrell · David Jones · Ravishankar Iyer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Sample Selection for Fair and Robust Training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
What training reveals about neural network complexity
Andreas Loukas · Marinos Poiitis · Stefanie Jegelka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
Will Stephenson · Zachary Frangella · Madeleine Udell · Tamara Broderick
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning 3D Dense Correspondence via Canonical Point Autoencoder
An-Chieh Cheng · Xueting Li · Min Sun · Ming-Hsuan Yang · Sifei Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revealing and Protecting Labels in Distributed Training
Trung Dang · Om Thakkar · Swaroop Ramaswamy · Rajiv Mathews · Peter Chin · Françoise Beaufays
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Realistic evaluation of transductive few-shot learning
Olivier Veilleux · Malik Boudiaf · Pablo Piantanida · Ismail Ben Ayed
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin · Guannan Qu · Longbo Huang · Adam Wierman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Adaptive wavelet distillation from neural networks through interpretations
Wooseok Ha · Chandan Singh · Francois Lanusse · Srigokul Upadhyayula · Bin Yu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Systematic Generalization with Edge Transformers
Leon Bergen · Timothy O'Donnell · Dzmitry Bahdanau
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen · Joey Litalien · Jun Gao · Zian Wang · Clement Fuji Tsang · Sameh Khamis · Or Litany · Sanja Fidler
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Training Method for Stochastic Compositional Optimization Problems
Hongchang Gao · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
NABARUN DEB · Promit Ghosal · Bodhisattva Sen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta · Xiongye Xiao · Paul Bogdan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Sampling over Episode Difficulty
Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
Minshuo Chen · Yan Li · Ethan Wang · Zhuoran Yang · Zhaoran Wang · Tuo Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Backdoor Attack with Imperceptible Input and Latent Modification
Khoa Doan · Yingjie Lao · Ping Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee · Ruoqi Shen · Kevin Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang · Shaofeng Zou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le · Thommen Karimpanal George · Majid Abdolshah · Truyen Tran · Svetha Venkatesh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang · Zhigang Hua · Gan Liu · Jiayi Zhang · Junchi Yan · Feng Qi · Shuang Yang · Jun Zhou · Xiaokang Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan · Xudong XU · Chen Change Loy · Christian Theobalt · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning in Multi-Stage Decentralized Matching Markets
Xiaowu Dai · Michael Jordan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya · Clement Canonne · Prathamesh Mayekar · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan · Jiashu Xu · Boyuan Long · Soumya Sanyal · Tanishq Gupta · Xiang Ren
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen · Jianfeng Lu · Yulong Lu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen · Yuejiao Sun · Wotao Yin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
Heyang Qin · Samyam Rajbhandari · Olatunji Ruwase · Feng Yan · Lei Yang · Yuxiong He
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Yizhou Zhang · Karishma Sharma · Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah · Devavrat Shah · Gregory Wornell
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Approximate optimization of convex functions with outlier noise
Anindya De · Sanjeev Khanna · Huan Li · MohammadHesam NikpeySalekde
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto · Shixiang (Shane) Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ReLU Regression with Massart Noise
Ilias Diakonikolas · Jong Ho Park · Christos Tzamos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dimension-free empirical entropy estimation
Doron Cohen · Aryeh Kontorovich · Aaron Koolyk · Geoffrey Wolfer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
Shashank Rajput · Kartik Sreenivasan · Dimitris Papailiopoulos · Amin Karbasi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Anup Sarma · Sonali Singh · Huaipan Jiang · Rui Zhang · Mahmut Kandemir · Chita Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack · Anna Hilgard · Sameer Singh · Himabindu Lakkaraju
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
ZHENHUAN YANG · Yunwen Lei · Puyu Wang · Tianbao Yang · Yiming Ying
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
Deeksha Adil · Brian Bullins · Sushant Sachdeva
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin · Longbo Huang · Haipeng Luo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Stelios Triantafyllou · Adish Singla · Goran Radanovic
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky · Artyom Gadetsky · Denis Rakitin · Danil Karpushkin · Dmitry Vetrov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Early-stopped neural networks are consistent
Ziwei Ji · Justin Li · Matus Telgarsky
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom · Didrik Nielsen · Priyank Jaini · Patrick Forré · Max Welling
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
Luigi Carratino · Stefano Vigogna · Daniele Calandriello · Lorenzo Rosasco
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Dominik Stöger · Mahdi Soltanolkotabi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas · Daniel Báez · Pablo Barceló · Jorge Pérez · Bernardo Subercaseaux
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Scene Flow Prior
Xueqian Li · Jhony Kaesemodel Pontes · Simon Lucey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Constrained Two-step Look-Ahead Bayesian Optimization
Yunxiang Zhang · Xiangyu Zhang · Peter Frazier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
JIABO HE · Sarah Erfani · Xingjun Ma · James Bailey · Ying Chi · Xian-Sheng Hua
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek Esmaeili · Ilya Mironov · Karthik Prasad · Igor Shilov · Florian Tramer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
Weishi Shi · Dayou Yu · Qi Yu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua · Qi Lei · Jason Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman Thiagarajan · Vivek Sivaraman Narayanaswamy · Deepta Rajan · Jia Liang · Akshay Chaudhari · Andreas Spanias
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White · Arber Zela · Robin Ru · Yang Liu · Frank Hutter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Convergence of adaptive algorithms for constrained weakly convex optimization
Ahmet Alacaoglu · Yura Malitsky · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein · Ramin Hasani · Alexander Amini · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
Oleksandr Shchur · Ali Caner Turkmen · Tim Januschowski · Jan Gasthaus · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Active Inference
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Training Implicit Models
Zhengyang Geng · Xin-Yu Zhang · Shaojie Bai · Yisen Wang · Zhouchen Lin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments
Gregory Stein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang · Doyeong Hwang · Seul Lee · Seongok Ryu · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Tianshi Cao · Sasha (Alexandre) Doubov · David Acuna · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Billy Jin · Katya Scheinberg · Miaolan Xie
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer · Pieter Abbeel · Joseph Gonzalez
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Jingjing Li · Wei Ji · Qi Bi · Cheng Yan · Miao Zhang · Yongri Piao · Huchuan Lu · Li cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditional Generation Using Polynomial Expansions
Grigorios Chrysos · Markos Georgopoulos · Yannis Panagakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning for Neural Topic Model
Thong Nguyen · Anh Tuan Luu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs · Unnat Jain · Iou-Jen Liu · Jordi Salvador · Svetlana Lazebnik · Aniruddha Kembhavi · Alex Schwing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski · Paras Jain · Bartolomeo Stellato · Goran Banjac · Michael Luo · Francesco Borrelli · Joseph Gonzalez · Ion Stoica · Ken Goldberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Clustering Effect of Adversarial Robust Models
Yang Bai · Xin Yan · Yong Jiang · Shu-Tao Xia · Yisen Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha · Adji Bousso Dieng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
Qinglong Zhang · Yu-Bin Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen · Kimin Lee · Aravind Srinivas · Pieter Abbeel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No Regrets for Learning the Prior in Bandits
Soumya Basu · Branislav Kveton · Manzil Zaheer · Csaba Szepesvari
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Deep Learning In Open Collaborations
Michael Diskin · Alexey Bukhtiyarov · Max Ryabinin · Lucile Saulnier · quentin lhoest · Anton Sinitsin · Dmitry Popov · Dmitry V. Pyrkin · Maxim Kashirin · Alexander Borzunov · Albert Villanova del Moral · Denis Mazur · Ilia Kobelev · Yacine Jernite · Thomas Wolf · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Newcomblike Environments
James Bell · Linda Linsefors · Caspar Oesterheld · Joar Skalse
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Distributionally Robust Imitation Learning
Mohammad Ali Bashiri · Brian Ziebart · Xinhua Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar · Mauricio Tec · Scott Niekum · Peter Stone
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Space-time Mixing Attention for Video Transformer
Adrian Bulat · Juan Manuel Perez Rua · Swathikiran Sudhakaran · Brais Martinez · Georgios Tzimiropoulos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
Isha Puri · Amit Dhurandhar · Tejaswini Pedapati · Karthikeyan Shanmugam · Dennis Wei · Kush Varshney
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao · Kai Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Yizhen Zhang · Minkyu Choi · Kuan Han · Zhongming Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Yossi Arjevani · Michael Field
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah · Zachary Lipton · Andrej Risteski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
Stefani Karp · Ezra Winston · Yuanzhi Li · Aarti Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas · Paul Swoboda
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Thomas Scialom · Paul-Alexis Dray · Jacopo Staiano · Sylvain Lamprier · Benjamin Piwowarski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer · Kanchana Ranasinghe · Salman H Khan · Munawar Hayat · Fahad Shahbaz Khan · Ming-Hsuan Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Ayush Sekhari · Karthik Sridharan · Satyen Kale
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Near Optimal Policy Optimization via REPS
Aldo Pacchiano · Jonathan N Lee · Peter Bartlett · Ofir Nachum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Interactive Label Cleaning with Example-based Explanations
Stefano Teso · Andrea Bontempelli · Fausto Giunchiglia · Andrea Passerini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Laplace Redux - Effortless Bayesian Deep Learning
Erik Daxberger · Agustinus Kristiadi · Alexander Immer · Runa Eschenhagen · Matthias Bauer · Philipp Hennig
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Facet Clustering Variational Autoencoders
Fabian Falck · Haoting Zhang · Matthew Willetts · George Nicholson · Christopher Yau · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
Chonghao Sima · Yexiang Xue
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Edge Representation Learning with Hypergraphs
Jaehyeong Jo · Jinheon Baek · Seul Lee · Dongki Kim · Minki Kang · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Scott Pesme · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou · Xiao Huang · Daochen Zha · Rui Chen · Li Li · Soo-Hyun Choi · Xia Hu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Feature Desensitization
Pouya Bashivan · Reza Bayat · Adam Ibrahim · Kartik Ahuja · Mojtaba Faramarzi · Touraj Laleh · Blake Richards · Irina Rish
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning of Global and Local Video Representations
shuang ma · Zhaoyang Zeng · Daniel McDuff · Yale Song
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
Peisong Wen · Qianqian Xu · Zhiyong Yang · Yuan He · Qingming Huang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explicable Reward Design for Reinforcement Learning Agents
Rati Devidze · Goran Radanovic · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning latent causal graphs via mixture oracles
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Better Algorithms for Individually Fair $k$-Clustering
Maryam Negahbani · Deeparnab Chakrabarty
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis · Gertjan Burghouts · Doina Bucur
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Generalization with Distributionally Robust Learning
Soumyadip Ghosh · Mark Squillante · Ebisa Wollega
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
Alkis Gotovos · Rebekka Burkholz · John Quackenbush · Stefanie Jegelka
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shift Invariance Can Reduce Adversarial Robustness
Vasu Singla · Songwei Ge · Basri Ronen · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Julien Boussard · Erdem Varol · Hyun Dong Lee · Nishchal Dethe · Liam Paninski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
Vignesh Ram Somnath · Charlotte Bunne · Connor Coley · Andreas Krause · Regina Barzilay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fuzzy Clustering with Similarity Queries
Wasim Huleihel · Arya Mazumdar · Soumyabrata Pal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li · Hongyang Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng · Alex Schwing · Alexander Kirillov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
Ziyu Jiang · Tianlong Chen · Ting Chen · Zhangyang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
Saber Jafarpour · Alexander Davydov · Anton Proskurnikov · Francesco Bullo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic stability and generalization of an unsupervised feature selection algorithm
xinxing wu · Qiang Cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov · Tianhe Yu · Aravind Rajeswaran · Chelsea Finn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie · Emma Brunskill · Chris Piech
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee · Marcello Carioni · Ozan Öktem · Carola-Bibiane Schönlieb
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Why Do Better Loss Functions Lead to Less Transferable Features?
Simon Kornblith · Ting Chen · Honglak Lee · Mohammad Norouzi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Lower Bounds on the Depth of ReLU Neural Networks
Christoph Hertrich · Amitabh Basu · Marco Di Summa · Martin Skutella
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi · Scott MacLachlan · Luke Olson · Matthew West
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SOPE: Spectrum of Off-Policy Estimators
Christina Yuan · Yash Chandak · Stephen Giguere · Philip Thomas · Scott Niekum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen · Jun Gao · Kangxue Yin · Ming-Yu Liu · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reward is enough for convex MDPs
Tom Zahavy · Brendan O'Donoghue · Guillaume Desjardins · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Maciej Wołczyk · Bartosz Wójcik · Klaudia Bałazy · Igor T Podolak · Jacek Tabor · Marek Śmieja · Tomasz Trzcinski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Zhaozhuo Xu · Zhao Song · Anshumali Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey · Milad Sefidgaran · Murat Erdogdu · Gaël Richard · Umut Simsekli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
Joshua Kavner · Lirong Xia
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta · Zachary Lipton · David Childers
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Yang Zhang · Ashkan Khakzar · Yawei Li · Azade Farshad · Seong Tae Kim · Nassir Navab
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Practical Near Neighbor Search via Group Testing
Joshua Engels · Benjamin Coleman · Anshumali Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hash Layers For Large Sparse Models
Stephen Roller · Sainbayar Sukhbaatar · arthur szlam · Jason Weston
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Infinite Time Horizon Safety of Bayesian Neural Networks
Mathias Lechner · Đorđe Žikelić · Krishnendu Chatterjee · Thomas Henzinger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
Michael Boratko · Dongxu Zhang · Nicholas Monath · Luke Vilnis · Kenneth L Clarkson · Andrew McCallum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade · Nathan Beck · Krishnateja Killamsetty · Rishabh Iyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
Indra Kumar · Carlos Scheidegger · Suresh Venkatasubramanian · Sorelle Friedler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
HyunJi Alex Nam · Scott Fleming · Emma Brunskill
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Influence Patterns for Explaining Information Flow in BERT
Kaiji Lu · Zifan Wang · Piotr Mardziel · Anupam Datta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Curriculum Design for Teaching via Demonstrations: Theory and Applications
Gaurav Yengera · Rati Devidze · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Batch Active Learning at Scale
Gui Citovsky · Giulia DeSalvo · Claudio Gentile · Lazaros Karydas · Anand Rajagopalan · Afshin Rostamizadeh · Sanjiv Kumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Compose Visual Relations
Nan Liu · Shuang Li · Yilun Du · Josh Tenenbaum · Antonio Torralba
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scatterbrain: Unifying Sparse and Low-rank Attention
Beidi Chen · Tri Dao · Eric Winsor · Zhao Song · Atri Rudra · Christopher Ré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
Changwoo Lee · Zhao Tang Luo · Huiyan Sang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
Siyuan Zhang · Nan Jiang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explanation-based Data Augmentation for Image Classification
Sandareka Wickramanayake · Wynne Hsu · Mong Li Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai · Jonathon Hare
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Online Correlation Clustering
Silvio Lattanzi · Benjamin Moseley · Sergei Vassilvitskii · Yuyan Wang · Rudy Zhou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
Yong Xu · Feng Li · Zhile Chen · Jinxiu Liang · Yuhui Quan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur · Aakanksha Chowdhery · Afroz Mohiuddin · LUKASZ KAISER · Wojciech Gajewski · Henryk Michalewski · Jonni Kanerva
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
Buddhima Gamlath · Xinrui Jia · Adam Polak · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
Zhiyuan Li · Sadhika Malladi · Sanjeev Arora
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Pedro Rodrigues · Thomas Moreau · Gilles Louppe · Alexandre Gramfort
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dual Parameterization of Sparse Variational Gaussian Processes
Vincent ADAM · Paul Chang · Mohammad Emtiyaz Khan · Arno Solin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Facility Location with Multiple Advice
Matteo Almanza · Flavio Chierichetti · Silvio Lattanzi · Alessandro Panconesi · Giuseppe Re
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis · Henry Jackson-Flux · Marc Brockschmidt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ErrorCompensatedX: error compensation for variance reduced algorithms
Hanlin Tang · Yao Li · Ji Liu · Ming Yan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Avi Schwarzschild · Eitan Borgnia · Arjun Gupta · Furong Huang · Uzi Vishkin · Micah Goldblum · Tom Goldstein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler · Michael Green · Min Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang · Huan Zhang · Kaidi Xu · Xue Lin · Suman Jana · Cho-Jui Hsieh · J. Zico Kolter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Learning of Convex Halfspaces on Graphs
Maximilian Thiessen · Thomas Gaertner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Label consistency in overfitted generalized $k$-means
Linfan Zhang · Arash Amini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Minimax Regret for Stochastic Shortest Path
Alon Cohen · Yonathan Efroni · Yishay Mansour · Aviv Rosenberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Regularization in ResNet with Stochastic Depth
Soufiane Hayou · Fadhel Ayed
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adaptive Proximal Gradient Methods for Structured Neural Networks
Jihun Yun · Aurelie Lozano · Eunho Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge · Shlok Mishra · Chun-Liang Li · Haohan Wang · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler · Tamar Shaham · Tomer Michaeli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim · Jong Chul Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Irina Higgins · Peter Wirnsberger · Andrew Jaegle · Aleksandar Botev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Soumyabrata Pal · Arya Mazumdar · Venkata Gandikota
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Rethinking the Pruning Criteria for Convolutional Neural Network
Zhongzhan Huang · Wenqi Shao · Xinjiang Wang · Liang Lin · Ping Luo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
You Never Cluster Alone
Yuming Shen · Ziyi Shen · Menghan Wang · Jie Qin · Philip Torr · Ling Shao
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma · Lexing Ying
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie · Imanol Schlag · Róbert Csordás · Jürgen Schmidhuber
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Brendan Ross · Jesse Cresswell
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
EDGE: Explaining Deep Reinforcement Learning Policies
Wenbo Guo · Xian Wu · Usmann Khan · Xinyu Xing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Luna: Linear Unified Nested Attention
Xuezhe Ma · Xiang Kong · Sinong Wang · Chunting Zhou · Jonathan May · Hao Ma · Luke Zettlemoyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein · Alaa Maalouf · Dan Feldman · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can contrastive learning avoid shortcut solutions?
Joshua Robinson · Li Sun · Ke Yu · Kayhan Batmanghelich · Stefanie Jegelka · Suvrit Sra
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robustness of Graph Neural Networks at Scale
Simon Geisler · Tobias Schmidt · Hakan Şirin · Daniel Zügner · Aleksandar Bojchevski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Gasteiger · Florian Becker · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Xiangyu Liu · Hangtian Jia · Ying Wen · Yujing Hu · Yingfeng Chen · Changjie Fan · ZHIPENG HU · Yaodong Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic Instabilities of Accelerated Gradient Descent
Amit Attia · Tomer Koren
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
Nicolas Skatchkovsky · Osvaldo Simeone · Hyeryung Jang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee · Kibok Lee · Kimin Lee · Honglak Lee · Jinwoo Shin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
Ioana Bica · Daniel Jarrett · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Information-theoretic Approach to Distribution Shifts
Marco Federici · Ryota Tomioka · Patrick Forré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Nimita Shinde · Vishnu Narayanan · James Saunderson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir · Omar Fawzi · Nicolas Flammarion · Aurélien Garivier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CCVS: Context-aware Controllable Video Synthesis
Guillaume Le Moing · Jean Ponce · Cordelia Schmid
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Fast-Inference Bayesian Networks
Vaidyanathan Peruvemba Ramaswamy · Stefan Szeider
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directed Graph Contrastive Learning
Zekun Tong · Yuxuan Liang · Henghui Ding · Yongxing Dai · Xinke Li · Changhu Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Coresets for Clustering with Missing Values
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi · Layla El Asri · Seyed Mehran Kazemi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Nils Bjorck · Carla Gomes · Kilian Weinberger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin · Daniel D. Johnson · Jonathan Ho · Daniel Tarlow · Rianne van den Berg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh · Zhe Zhao · Aakanksha Chowdhery · Maheswaran Sathiamoorthy · Yihua Chen · Rahul Mazumder · Lichan Hong · Ed Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
Artin Spiridonoff · Alex Olshevsky · Yannis Paschalidis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser · Michael Arbel · Arthur Gretton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Andreas Maurer · Massimiliano Pontil
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Skills for Efficient Exploration
Jonas Gehring · Gabriel Synnaeve · Andreas Krause · Nicolas Usunier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn · Devendra Singh Chaplot · Shubham Tulsiani · Mustafa Mukadam · James Rehg · Abhinav Gupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
Shoutik Mukherjee · Behtash Babadi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-view Contrastive Graph Clustering
ErLin Pan · Zhao Kang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle · Pranav Goel · Andrew Hian-Cheong · Denis Peskov · Jordan Boyd-Graber · Philip Resnik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Sharper Generalization Bounds for Structured Prediction
Shaojie Li · Yong Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang · Wangkun Xu · Yunjie Gu · Wenbin Song · Tim C Green
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Flows: Efficient Alternative to Neural ODEs
Marin Biloš · Johanna Sommer · Syama Sundar Rangapuram · Tim Januschowski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
Man Shun Ang · Jianzhu Ma · Nianjun Liu · Kun Huang · Yijie Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Mandela Patrick · Dylan Campbell · Yuki Asano · Ishan Misra · Florian Metze · Christoph Feichtenhofer · Andrea Vedaldi · João Henriques
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
Dongmin Park · Hwanjun Song · Minseok Kim · Jae-Gil Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Relative Flatness and Generalization
Henning Petzka · Michael Kamp · Linara Adilova · Cristian Sminchisescu · Mario Boley
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Regularization in Matrix Sensing via Mirror Descent
Fan Wu · Patrick Rebeschini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generic Neural Architecture Search via Regression
Yuhong Li · Cong Hao · Pan Li · Jinjun Xiong · Deming Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun · Yafei Wang · Yi Liu · yingnan zhao · Bo Pan · Shangling Jui · Bei Jiang · Linglong Kong
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Topological Relational Learning on Graphs
Yuzhou Chen · Baris Coskunuzer · Yulia Gel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Expressivity of Markov Reward
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Contrastive Losses
Ting Chen · Calvin Luo · Lala Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Robust and Reliable Algorithmic Recourse
Sohini Upadhyay · Shalmali Joshi · Himabindu Lakkaraju
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar · Gregory Vaksman · Michael Elad
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Predicting Deep Neural Network Generalization with Perturbation Response Curves
Yair Schiff · Brian Quanz · Payel Das · Pin-Yu Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
Aditya Vardhan Varre · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Federated Linear Contextual Bandits
Ruiquan Huang · Weiqiang Wu · Jing Yang · Cong Shen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
Christoph Dann · Mehryar Mohri · Tong Zhang · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari · YooJung Choi · Anji Liu · Stefano Teso · Guy Van den Broeck
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Le Hui · Lingpeng Wang · Mingmei Cheng · Jin Xie · Jian Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning with Labeling Induced Abstentions
Kareem Amin · Giulia DeSalvo · Afshin Rostamizadeh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe · Pritish Kamath · Eran Malach · Colin Sandon · Nathan Srebro
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
Dandan Shan · Richard Higgins · David Fouhey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul · Saptarshi Chakraborty · Swagatam Das · Jason Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh · Siva Reddy · Will Hamilton · Chris Dyer · Dani Yogatama
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Contrastive Representations of Stochastic Processes
Emile Mathieu · Adam Foster · Yee Teh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Active clustering for labeling training data
Quentin Lutz · Elie de Panafieu · Maya Stein · Alex Scott
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Setlur · Oscar Li · Virginia Smith
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Smooth Normalizing Flows
Jonas Köhler · Andreas Krämer · Frank Noe
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Gasteiger · Chandan Yeshwanth · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder · Yue Li · Stelian Coros · Bernhard Thomaszewski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu · Stephen Hailes · Mirco Musolesi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
harsh satija · Philip Thomas · Joelle Pineau · Romain Laroche
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exponential Separation between Two Learning Models and Adversarial Robustness
Grzegorz Gluch · Ruediger Urbanke
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Risk Monotonicity in Statistical Learning
Zakaria Mhammedi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When Are Solutions Connected in Deep Networks?
Quynh Nguyen · Pierre Bréchet · Marco Mondelli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity · Debarghya Mukherjee · Mikhail Yurochkin · Yuekai Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang · David Ha
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler · Sinho Chewi · Patrik R Gerber · Austin Stromme
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
Nathaniel Lahn · Sharath Raghvendra · Jiacheng Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Junhui Zhang · Jingkai Yan · John Wright
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad · David Saulpic · Chris Schwiegelshohn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
Fabian Latorre · Leello Tadesse Dadi · Paul Rolland · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Causal Bayesian Optimization
Virginia Aglietti · Neil Dhir · Javier González · Theodoros Damoulas
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Active Learning with Surrogate Loss Functions
Giulia DeSalvo · Claudio Gentile · Tobias Sommer Thune
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter · Martin Kukla · Cheng Zhang · Yingzhen Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
Gonzalo Jaimovitch-Lopez · David Castellano Falcón · Cesar Ferri · José Hernández-Orallo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
Stephen Chung · Hava Siegelmann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Locality of Local Explanation Models
Sahra Ghalebikesabi · Lucile Ter-Minassian · Karla DiazOrdaz · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
Bogdan-Adrian Manghiuc · He Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Parallel and Efficient Hierarchical k-Median Clustering
Vincent Cohen-Addad · Silvio Lattanzi · Ashkan Norouzi-Fard · Christian Sohler · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Julian Zilly · Alessandro Achille · Andrea Censi · Emilio Frazzoli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng · Linjun Zhang · Kailas Vodrahalli · Kenji Kawaguchi · James Zou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Comprehensively Tight Analysis of Gradient Descent for PCA
Zhiqiang Xu · Ping Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaz Bozic · Pablo Palafox · Justus Thies · Angela Dai · Matthias Niessner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin · Jacob Huh · Christopher Stauffer · Ser Nam Lim · Phillip Isola
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz · Jakub Tomczak · Sandjai Bhulai
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Limits of Optimal Pricing in the Dark
Quinlan Dawkins · Minbiao Han · Haifeng Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Elias Frantar · Eldar Kurtic · Dan Alistarh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin · Eduard Gorbunov · Vsevolod Plokhotnyuk · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed · Jia Deng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort · Jie Ren · Balaji Lakshminarayanan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Value of Information When Deciding What to Learn
Dilip Arumugam · Benjamin Van Roy
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen · Guillaume Desjardins · Kate Baumli · David Warde-Farley · Nicolas Heess · Simon Osindero · Volodymyr Mnih
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni · Yin Tat Lee · Daogao Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao · Yinfeng Li · Quanming Yao · Depeng Jin · Yong Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf · Alon Brutzkus · Amir Globerson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu · Mehdi Azabou · Max Dabagia · Chi-Heng Lin · Mohammad Gheshlaghi Azar · Keith Hengen · Michal Valko · Eva Dyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase · Harry Xie · Mohit Bansal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Benjamin Dupuis · Arthur Jacot
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Zahra Atashgahi · Lu Yin · Huanyu Kou · Li Shen · Mykola Pechenizkiy · Zhangyang Wang · Decebal Constantin Mocanu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Speedy Performance Estimation for Neural Architecture Search
Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Frequency Bias of Generative Models
Katja Schwarz · Yiyi Liao · Andreas Geiger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-efficient Patch-based Inference for Tiny Deep Learning
Ji Lin · Wei-Ming Chen · Han Cai · Chuang Gan · Song Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu · Mark Riedl
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Large-Scale Unsupervised Object Discovery
Van Huy Vo · Elena Sizikova · Cordelia Schmid · Patrick Pérez · Jean Ponce
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To The Point: Correspondence-driven monocular 3D category reconstruction
Filippos Kokkinos · Iasonas Kokkinos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan Paleja · Muyleng Ghuy · Nadun Ranawaka Arachchige · Reed Jensen · Matthew Gombolay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang · Jingjing Qian · Jun Chen · Ashish Khisti
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
Anastasia Makarova · Ilnura Usmanova · Ilija Bogunovic · Andreas Krause
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tracking Without Re-recognition in Humans and Machines
Drew Linsley · Girik Malik · Junkyung Kim · Lakshmi Narasimhan Govindarajan · Ennio Mingolla · Thomas Serre
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie · Ching-An Cheng · Nan Jiang · Paul Mineiro · Alekh Agarwal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Estimating the Unique Information of Continuous Variables
Ari Pakman · Amin Nejatbakhsh · Dar Gilboa · Abdullah Makkeh · Luca Mazzucato · Michael Wibral · Elad Schneidman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Emergent Communication of Generalizations
Jesse Mu · Noah Goodman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Explanation of Dialogue Response Generation
Yi-Lin Tuan · Connor Pryor · Wenhu Chen · Lise Getoor · William Yang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd · Robert Ashmead · Ryan Cumings-Menon · Simson Garfinkel · Daniel Kifer · Philip Leclerc · William Sexton · Ashley Simpson · Christine Task · Pavel Zhuravlev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Cross-view Geo-localization with Layer-to-Layer Transformer
Hongji Yang · Xiufan Lu · Yingying Zhu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu · Bernt Schiele · Qianru Sun