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Poster
None
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng · Tianfu Wu · Zhebin Zhang · Hongyu Sun · Christopher Healey
Poster
None
Dynamic learning in large matching markets
Anand Kalvit · Assaf Zeevi
Poster
None
Differentially Private Model Compression
FatemehSadat Mireshghallah · Arturs Backurs · Huseyin A. Inan · Lukas Wutschitz · Janardhan Kulkarni
Poster
None
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines
Poster
None
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Pietro Novelli · Vladimir Kostic · Massimiliano Pontil · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco
Poster
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Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
Poster
None
Tackling Overfitting and Silence in Unsupervised Audio-Visual Source Localization
Shentong Mo · Pedro Morgado
Poster
None
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
Bokun Wang · Mher Safaryan · Peter Richtarik
Poster
None
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot · Eugene Golikov · Clement Hongler · Franck Gabriel
Poster
None
Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
Hyeokjun Kweon · Kuk-Jin Yoon
Poster
None
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
Yuanze Lin · Yujia Xie · Dongdong Chen · Yichong Xu · Chenguang Zhu · Lu Yuan
Poster
None
Learning Gradient Fields for Object Arrangement
Mingdong Wu · Fangwei Zhong · Yulong Xia · Hao Dong
Poster
None
Diffusion Models as Plug-and-Play Priors
Alexandros Graikos · Nikolay Malkin · Nebojsa Jojic · Dimitris Samaras
Poster
None
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound
Liam O'Carroll · Vaidehi Srinivas · Aravindan Vijayaraghavan
Poster
None
Test Time Adaptation via Conjugate Pseudo-labels
Sachin Goyal · Mingjie Sun · Aditi Raghunathan · J. Zico Kolter
Poster
None
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
Wei Zhang · Yanjun Han · Zhengyuan Zhou · Aaron Flores · Tsachy Weissman
Poster
None
The Neural Testbed: Evaluating Joint Predictions
Ian Osband · Zheng Wen · Seyed Mohammad Asghari · Vikranth Dwaracherla · Xiuyuan Lu · MORTEZA IBRAHIMI · John Lawson · Botao Hao · Brendan O'Donoghue · Benjamin Van Roy
Poster
None
Revisiting Heterophily For Graph Neural Networks
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup
Poster
None
Efficient and Modular Implicit Differentiation
Mathieu Blondel · Quentin Berthet · Marco Cuturi · Roy Frostig · Stephan Hoyer · Felipe Llinares-Lopez · Fabian Pedregosa · Jean-Philippe Vert
Poster
None
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
Katja Schwarz · Axel Sauer · Michael Niemeyer · Yiyi Liao · Andreas Geiger
Poster
None
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yu · Zhizhen Qin · Min Lee · Sicun Gao
Poster
None
Dataset Inference for Self-Supervised Models
Adam Dziedzic · Haonan Duan · Muhammad Ahmad Kaleem · Nikita Dhawan · Jonas Guan · Yannis Cattan · Franziska Boenisch · Nicolas Papernot
Poster
None
A Regret-Variance Trade-Off in Online Learning
Dirk van der Hoeven · Nikita Zhivotovskiy · Nicolò Cesa-Bianchi
Poster
None
Neur2SP: Neural Two-Stage Stochastic Programming
Rahul Mihir Patel · Justin Dumouchelle · Elias Khalil · Merve Bodur
Poster
None
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
Philip Amortila · Nan Jiang · Dean Foster · Dhruv Madeka
Poster
None
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov · Polina Kirichenko · Nate Gruver · Andrew Wilson
Poster
None
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
James Gardner · Bernhard Egger · William Smith
Poster
None
Fairness in Federated Learning via Core-Stability
Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta
Poster
None
End-to-end Stochastic Programming with Energy-based Model
Lingkai Kong · Jiaming Cui · Yuchen Zhuang · Rui Feng · B. Aditya Prakash · Chao Zhang
Poster
None
Representing Spatial Trajectories as Distributions
Didac Suris Coll-Vinent · Carl Vondrick
Poster
None
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
Haoyu Zhao · Boyue Li · Zhize Li · Peter Richtarik · Yuejie Chi
Poster
None
Unsupervised Learning for Combinatorial Optimization with Principled Objective Design
Haoyu Wang · Nan Wu · Hang Yang · Cong Hao · Pan Li
Poster
None
WeightedSHAP: analyzing and improving Shapley based feature attributions
Yongchan Kwon · James Zou
Poster
None
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Victor Weixin Liang · Yuhui Zhang · Yongchan Kwon · Serena Yeung · James Zou
Poster
None
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Javad Rahimipour Anaraki · Lei Guo
Poster
None
Structural Pruning via Latency-Saliency Knapsack
Maying Shen · Hongxu Yin · Pavlo Molchanov · Lei Mao · Jianna Liu · Jose M. Alvarez
Poster
None
Online Learning and Pricing for Network Revenue Management with Reusable Resources
Huiwen Jia · Cong Shi · Siqian Shen
Poster
None
INRAS: Implicit Neural Representation for Audio Scenes
Kun Su · Mingfei Chen · Eli Shlizerman
Poster
None
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Weichao Mao · Haoran Qiu · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Ravishankar Iyer · Tamer Basar
Poster
None
Multi-Game Decision Transformers
Kuang-Huei Lee · Ofir Nachum · Mengjiao Yang · Lisa Lee · Daniel Freeman · Sergio Guadarrama · Ian Fischer · Winnie Xu · Eric Jang · Henryk Michalewski · Igor Mordatch
Poster
None
Compositional generalization through abstract representations in human and artificial neural networks
Takuya Ito · Tim Klinger · Doug Schultz · John Murray · Michael Cole · Mattia Rigotti
Poster
None
RepLAI: Self-supervised Representation Learning from Videos of Audible Interactions
Himangi Mittal · Pedro Morgado · Unnat Jain · Abhinav Gupta
Poster
None
Generalised Mutual Information for Discriminative Clustering
Louis Ohl · Pierre-Alexandre Mattei · Charles Bouveyron · Warith Harchaoui · Arnaud Droit · Mickaël Leclercq · Frederic Precioso
Poster
None
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
Krishnateja Killamsetty · Guttu Abhishek · Aakriti Lnu · Alexandre Evfimievski · Lucian Popa · Ganesh Ramakrishnan · Rishabh Iyer
Poster
None
Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern
Poster
None
Video Diffusion Models
Jonathan Ho · Tim Salimans · Alexey Gritsenko · William Chan · Mohammad Norouzi · David Fleet
Poster
None
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding
Poster
None
FlowHMM: Flow-based continuous hidden Markov models
Pawel Lorek · Rafal Nowak · Tomasz Trzcinski · Maciej Zieba
Poster
None
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang · Yuguang Yao · Parikshit Ram · pu zhao · Tianlong Chen · Mingyi Hong · Yanzhi Wang · Sijia Liu
Poster
None
Autoregressive Perturbations for Data Poisoning
Pedro Sandoval-Segura · Vasu Singla · Jonas Geiping · Micah Goldblum · Tom Goldstein · David Jacobs
Poster
None
Regret Bounds for Multilabel Classification in Sparse Label Regimes
Róbert Busa-Fekete · Heejin Choi · Krzysztof Dembczynski · Claudio Gentile · Henry Reeve · Balazs Szorenyi
Poster
None
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking
Ruofan Wu · Junmin Zhong · Brent Wallace · Xiang Gao · He Huang · Jennie Si
Poster
None
Deep Generative Model for Periodic Graphs
Shiyu Wang · Xiaojie Guo · Liang Zhao
Poster
None
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Jiachen T. Wang · Saeed Mahloujifar · Shouda Wang · Ruoxi Jia · Prateek Mittal
Poster
None
Transformer Memory as a Differentiable Search Index
Yi Tay · Vinh Tran · Mostafa Dehghani · Jianmo Ni · Dara Bahri · Harsh Mehta · Zhen Qin · Kai Hui · Zhe Zhao · Jai Gupta · Tal Schuster · William Cohen · Donald Metzler
Poster
None
IMED-RL: Regret optimal learning of ergodic Markov decision processes
Fabien Pesquerel · Odalric-Ambrym Maillard
Poster
None
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Yichong Leng · Zehua Chen · Junliang Guo · Haohe Liu · Jiawei Chen · Xu Tan · Danilo Mandic · Lei He · Xiangyang Li · Tao Qin · Sheng Zhao · Tie-Yan Liu
Poster
None
Learning-based Manipulation Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang · Chenning Yu · Jingkai Chen · Chuchu Fan · Sicun Gao
Poster
None
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg · Dimitris Tsipras · Gregory Valiant · Percy Liang
Poster
None
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
Arjun Majumdar · Gunjan Aggarwal · Bhavika Devnani · Judy Hoffman · Dhruv Batra
Poster
None
Adversarial Robustness is at Odds with Lazy Training
Yunjuan Wang · Enayat Ullah · Poorya Mianjy · Raman Arora
Poster
None
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
Tianhao Wu · Fangcheng Zhong · Andrea Tagliasacchi · Forrester Cole · Cengiz Oztireli
Poster
None
Spartan: Differentiable Sparsity via Regularized Transportation
Kai Sheng Tai · Taipeng Tian · Ser Nam Lim
Poster
None
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
Huan Wang · Suhas Lohit · Michael Jones · Yun Fu
Poster
None
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
Ruqi Zhang · Qiang Liu · Xin Tong
Poster
None
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
Jue WANG · Binhang Yuan · Luka Rimanic · Yongjun He · Tri Dao · Beidi Chen · Christopher Ré · Ce Zhang
Poster
None
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
Poster
None
Improving Certified Robustness via Statistical Learning with Logical Reasoning
Zhuolin Yang · Zhikuan Zhao · Boxin Wang · Jiawei Zhang · Linyi Li · Hengzhi Pei · Bojan Karlaš · Ji Liu · Heng Guo · Ce Zhang · Bo Li
Poster
None
Sparse Winning Tickets are Data-Efficient Image Recognizers
Mukund Varma T · Xuxi Chen · Zhenyu Zhang · Tianlong Chen · Subhashini Venugopalan · Zhangyang Wang
Poster
None
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand · Boris Muzellec · Constance Béguier · Jean Ogier du Terrail · Mathieu Andreux
Poster
None
Using natural language and program abstractions to instill human inductive biases in machines
Sreejan Kumar · Carlos Correa · Ishita Dasgupta · Raja Marjieh · Michael Y Hu · Robert Hawkins · Jonathan D Cohen · nathaniel daw · Karthik Narasimhan · Tom Griffiths
Poster
None
On Measuring Excess Capacity in Neural Networks
Florian Graf · Sebastian Zeng · Bastian Rieck · Marc Niethammer · Roland Kwitt
Poster
None
Decentralized Training of Foundation Models in Heterogeneous Environments
Binhang Yuan · Yongjun He · Tianyi Zhang · Jared Davis · Tri Dao · Beidi Chen · Percy Liang · Christopher Ré · Ce Zhang
Poster
None
Multi-objective Deep Data Generation with Correlated Property Control
Shiyu Wang · Xiaojie Guo · Xuanyang Lin · Bo Pan · Yuanqi Du · Yinkai Wang · Yanfang Ye · Ashley Petersen · Austin Leitgeb · Saleh Alkhalifa · Kevin Minbiole · William M. Wuest · Amarda Shehu · Liang Zhao
Poster
None
PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
Yasmin Salehi · Dennis Giannacopoulos
Poster
None
SIREN: Shaping Representations for OOD Detection
Xuefeng Du · Gabriel Gozum · Yifei Ming · Yixuan Li
Poster
None
Recurrent Video Restoration Transformer with Guided Deformable Attention
Jingyun Liang · Yuchen Fan · Xiaoyu Xiang · Rakesh Ranjan · Eddy Ilg · Simon Green · Jiezhang Cao · Kai Zhang · Radu Timofte · Luc V Gool
Poster
None
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Rame · Matthieu Kirchmeyer · Thibaud Rahier · Alain Rakotomamonjy · Patrick Gallinari · Matthieu Cord
Poster
None
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang · Ziyuan Zhao · Theodoros Tsiligkaridis · Marinka Zitnik
Poster
None
Decoupled Context Processing for Context Augmented Language Modeling
Zonglin Li · Ruiqi Guo · Sanjiv Kumar
Poster
None
Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li · Junbo Li · Anmol Kabra · Nati Srebro · Zhaoran Wang · Zhuoran Yang
Poster
None
Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
Poster
None
Modeling Neural Population Activity with Spatiotemporal Transformer
Trung Le · Eli Shlizerman
Poster
None
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
Qiwen Cui · Simon Du
Poster
None
When are Offline Two-Player Zero-Sum Markov Games Solvable?
Qiwen Cui · Simon Du
Poster
None
On Gap-dependent Bounds for Offline Reinforcement Learning
Xinqi Wang · Qiwen Cui · Simon Du
Poster
None
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du
Poster
None
Stars: Tera-Scale Graph Building for Clustering and Learning
CJ Carey · Jonathan Halcrow · Rajesh Jayaram · Vahab Mirrokni · Warren Schudy · Peilin Zhong
Poster
None
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha · Louis Feng · Qiaoyu Tan · Zirui Liu · Kwei-Herng Lai · Bhargav Bhushanam · Yuandong Tian · Arun Kejariwal · Xia Hu
Poster
None
Effects of Data Geometry in Early Deep Learning
Saket Tiwari · George Konidaris
Poster
None
GLIPv2: Unifying Localization and Vision-Language Understanding
Haotian Zhang · Pengchuan Zhang · Xiaowei Hu · Yen-Chun Chen · Liunian Li · Xiyang Dai · Lijuan Wang · Lu Yuan · Jenq-Neng Hwang · Jianfeng Gao
Poster
None
Get More at Once: Alternating Sparse Training with Gradient Correction
Li Yang · Jian Meng · Jae-sun Seo · Deliang Fan
Poster
None
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu · Siliang Zeng · Xiaodong Cui · Mark Squillante · Lior Horesh · Brian Kingsbury · Jia Liu · Mingyi Hong
Poster
None
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu · Chaoyue Liu · Misha Belkin
Poster
None
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui · Gezheng Xu · Qi CHEN · Jiaqi Li · Charles Ling · Tal Arbel · Boyu Wang · Christian Gagné
Poster
None
Phase transitions in when feedback is useful
Lokesh Boominathan · Xaq Pitkow
Poster
None
Adversarial training for high-stakes reliability
Daniel Ziegler · Seraphina Nix · Lawrence Chan · Tim Bauman · Peter Schmidt-Nielsen · Tao Lin · Adam Scherlis · Noa Nabeshima · Benjamin Weinstein-Raun · Daniel de Haas · Buck Shlegeris · Nate Thomas
Poster
None
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graph
Ruijie Wang · Zheng Li · Dachun Sun · Shengzhong Liu · Jinning Li · Bing Yin · Tarek Abdelzaher
Poster
None
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Yiren Jian · Chongyang Gao · Soroush Vosoughi
Poster
None
The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh · Avinash Baidya
Poster
None
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Michele Bevilacqua · Giuseppe Ottaviano · Patrick Lewis · Scott Yih · Sebastian Riedel · Fabio Petroni
Poster
None
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab · Michael Jordan · Eric Zhao
Poster
None
Brain Network Transformer
Xuan Kan · Wei Dai · Hejie Cui · Zilong Zhang · Ying Guo · Carl Yang
Poster
None
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li · Jinghuan Shang · Srijan Das · Michael Ryoo
Poster
None
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
Jinghuan Shang · Srijan Das · Michael Ryoo
Poster
None
Exact Solutions of a Deep Linear Network
Liu Ziyin · Botao Li · Xiangming Meng
Poster
None
Dense Interspecies Face Embedding
Sejong Yang · Subin Jeon · Seonghyeon Nam · Seon Joo Kim
Poster
None
Moment Distributionally Robust Tree Structured Prediction
Yeshu Li · Danyal Saeed · Xinhua Zhang · Brian Ziebart · Kevin Gimpel
Poster
None
NeMF: Neural Motion Fields for Kinematic Animation
Chengan He · Jun Saito · James Zachary · Holly Rushmeier · Yi Zhou
Poster
None
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
Hangbo Bao · Wenhui Wang · Li Dong · Qiang Liu · Owais Khan Mohammed · Kriti Aggarwal · Songhao Piao · Subhojit Som · Furu Wei
Poster
None
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson
Poster
None
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Nils Kriege
Poster
None
Learning Audio-Visual Dynamics Using Scene Graphs
Moitreya Chatterjee · Narendra Ahuja · Anoop Cherian
Poster
None
A Character-Level Length Control Algorithm for Non-Autoregressive Sentence Summarization
Puyuan Liu · Xiang Zhang · Lili Mou
Poster
None
On Computing Probabilistic Explanations for Decision Trees
Marcelo Arenas · Pablo Barceló · Miguel Romero Orth · Bernardo Subercaseaux
Poster
None
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein · Nitsan levy · Lucy Liu · Yoav Kolumbus · David Parkes · Jeffrey S Rosenschein · Sarah Keren
Poster
None
Wasserstein $K$-means for clustering probability distributions
Yubo Zhuang · Xiaohui Chen · Yun Yang
Poster
None
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
Albert Wilcox · Ashwin Balakrishna · Daniel Brown · Jules Dedieu · Wyame Benslimane · Ken Goldberg
Poster
None
Introspective Learning : A Two-Stage approach for Inference in Neural Networks
Mohit Prabhushankar · Ghassan AlRegib
Poster
None
Group GAN
Ali Seyfi · Jean-Francois Rajotte · Raymond Ng
Poster
None
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
Xingang Guo · Bin Hu
Poster
None
Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Ashok Cutkosky · Hoang Tran
Poster
None
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline
Poster
None
Natural image synthesis for the retina with variational information bottleneck representation
Babak Rahmani · Demetri Psaltis · Christophe Moser
Poster
None
Fault-Aware Neural Code Rankers
Jeevana Priya Inala · Chenglong Wang · Mei Yang · Andres Codas · Mark Encarnación · Shuvendu Lahiri · Madanlal Musuvathi · Jianfeng Gao
Poster
None
Retaining Knowledge for Learning with Dynamic Definition
Zichang Liu · Benjamin Coleman · Tianyi Zhang · Anshumali Shrivastava
Poster
None
BILCO: An Efficient Algorithm for Joint Alignment of Time Series
Xuelong Mi · Mengfan Wang · Alex Chen · Jing-Xuan Lim · Yizhi Wang · Misha B Ahrens · Guoqiang Yu
Poster
None
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran · Wei Wang · Quan Gang · Jieming Yin · Nuo Xu · Wujie Wen
Poster
None
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Geng Yuan · Yanyu Li · Sheng Li · Zhenglun Kong · Sergey Tulyakov · Xulong Tang · Yanzhi Wang · Jian Ren
Poster
None
A Fourier Approach to Mixture Learning
Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer
Poster
None
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae · Nathan Ng · Alston Lo · Marzyeh Ghassemi · Roger Grosse
Poster
None
Learning sparse features can lead to overfitting in neural networks
Francesco Cagnetta · Matthieu Wyart · Leonardo Petrini · Eric Vanden-Eijnden
Poster
None
Uni[MASK]: Unified inference in sequential decision problems
Micah Carroll · Jessy Lin · Orr Paradise · Raluca Georgescu · Mingfei Sun · David Bignell · Stephanie Milani · Katja Hofmann · Matthew Hausknecht · Anca Dragan · Sam Devlin
Poster
None
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
Zhuoqing Song · Weijian Li · Kexin Jin · Lei Shi · Ming Yan · Wotao Yin · Kun Yuan
Poster
None
FedRolex: Model-Heterogeneous Federated Learning with Rolling Submodel Extraction
Samiul Alam · Luyang Liu · Ming Yan · Mi Zhang
Poster
None
Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
Poster
None
Is Sortition Both Representative and Fair?
Soroush Ebadian · Gregory Kehne · Evi Micha · Ariel Procaccia · Nisarg Shah
Poster
None
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer
Lujun Li · ZHE JIN
Poster
None
Recruitment Strategies That Take a Chance
Gregory Kehne · Ariel Procaccia · Jingyan Wang
Poster
None
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez · Thomas Quinn · John Cunningham
Poster
None
Systematic improvement of neural network quantum states using Lanczos
Hongwei Chen · Douglas Hendry · Phillip Weinberg · Adrian Feiguin
Poster
None
Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh · Mohamad Sadegh Shirani Faradonbeh · Mohsen Bayati
Poster
None
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Soon Hoe Lim · Yijun Wan · Umut Simsekli
Poster
None
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song
Poster
None
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
HUIPING ZHUANG · Zhenyu Weng · Hongxin Wei · RENCHUNZI XIE · Kar-Ann Toh · Zhiping Lin
Poster
None
Coded Residual Transform for Generalizable Deep Metric Learning
SHICHAO KAN · Yixiong Liang · Min Li · Yigang Cen · Jianxin Wang · Zhihai He
Poster
None
Physically-Based Face Rendering for NIR-VIS Face Recognition
Yunqi Miao · Alexandros Lattas · Jiankang Deng · Jungong Han · Stefanos Zafeiriou
Poster
None
SPDNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling
Xuanhong Chen · Kairui Feng · Bingbing Ni · Naiyuan Liu · Yifan Lu · Ziang Liu · Zhengyan Tong
Poster
None
Trajectory Inference via Mean-field Langevin in Path Space
Stephen Zhang · Lénaïc Chizat · Matthieu Heitz · Geoffrey Schiebinger
Poster
None
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Xiang Chen · Lei Li · Ningyu Zhang · Xiaozhuan Liang · Shumin Deng · Chuanqi Tan · Fei Huang · Luo Si · Huajun Chen
Poster
None
Recursive Reinforcement Learning
Mateo Perez · Ernst Moritz Hahn · Sven Schewe · Fabio Somenzi · Ashutosh Trivedi · Dominik Wojtczak
Poster
None
Star Temporal Classification: Sequence Modeling with Partially Labeled Data
Vineel Pratap · Awni Hannun · Gabriel Synnaeve · Ronan Collobert
Poster
None
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham · Thai Hung Le · Man Ngo · Truyen Tran
Poster
None
Single Loop Gaussian Homotopy Method for Non-convex Optimization
Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda
Poster
None
Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model
Su Jia · Andrew Li · R Ravi
Poster
None
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
Andrew Cullen · Paul Montague · Shijie Liu · Sarah Erfani · Benjamin Rubinstein
Poster
None
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang · James Liang · Dongfang Liu
Poster
None
An Algorithm for Learning Switched Linear Dynamics from Data
Guillaume Berger · Monal Narasimhamurthy · Kandai Watanabe · Morteza Lahijanian · Sriram Sankaranarayanan
Poster
None
FP8 Quantization: The Power of the Exponent
Andrey Kuzmin · Mart van Baalen · Yuwei Ren · Markus Nagel · Jorn Peters · Tijmen Blankevoort
Poster
None
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon · JEONGHAK KIM · Haryong Song · Seunghyeon Cho · Noseong Park
Poster
None
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang · Wenguan Wang · Jiaxu Miao · Yi Yang
Poster
None
Density-driven Regularization for Out-of-distribution Detection
Wenjian Huang · Hao Wang · Jiahao Xia · Chengyan Wang · Jianguo Zhang
Poster
None
A Spectral Approach to Item Response Theory
Duc Nguyen · Anderson Zhang
Poster
None
VTC-LFC: Vision Transformer Compression with Low-Frequency Components
Zhenyu Wang · Hao Luo · Pichao WANG · Feng Ding · Fan Wang · Hao Li
Poster
None
Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates
Poster
None
Deep Counterfactual Estimation with Categorical Background Variables
Edward De Brouwer
Poster
None
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
Gabriele Cesa · Arash Behboodi · Taco Cohen · Max Welling
Poster
None
Algorithms and Hardness for Learning Linear Thresholds from Label Proportions
Rishi Saket
Poster
None
Global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
Poster
None
A Theoretical Framework for Inference Learning
Nick Alonso · Beren Millidge · Jeffrey Krichmar · Emre O Neftci
Poster
None
Near-Optimal Correlation Clustering with Privacy
Vincent Cohen-Addad · Chenglin Fan · Silvio Lattanzi · Slobodan Mitrovic · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski
Poster
None
Differentiable Analog Quantum Computing for Optimization and Control
Jiaqi Leng · Yuxiang Peng · Yiling Qiao · Ming Lin · Xiaodi Wu
Poster
None
Does Momentum Change the Implicit Regularization on Separable Data?
Bohan Wang · Qi Meng · Huishuai Zhang · Ruoyu Sun · Wei Chen · Zhi-Ming Ma · Tie-Yan Liu
Poster
None
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao · Kai Yang · Dongjin Song
Poster
None
A Unified Convergence Theorem for Stochastic Optimization Methods
Xiao Li · Andre Milzarek
Poster
None
UnfoldML: A Cost-Aware 2-D Dynamic Prediction Pipeline for Multi-Stage Classification
Yanbo Xu · Alind Khare · Glenn Matlin · Monish Ramadoss · Rishikesan Kamaleswaran · Chao Zhang · Alexey Tumanov
Poster
None
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker · Ilge Akkaya · Peter Zhokov · Joost Huizinga · Jie Tang · Adrien Ecoffet · Brandon Houghton · Raul Sampedro · Jeff Clune
Poster
None
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo · Long Tian · He Zhao · Mingyuan Zhou · Hongyuan Zha
Poster
None
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Yiling Qiao · Alexander Gao · Ming Lin
Poster
None
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang · Zhanhong Ye · Hongsheng Liu · Shi Ji · Zidong Wang · Kang Yang · Yang Li · Min Wang · Haotian CHU · Fan Yu · Bei Hua · Lei Chen · Bin Dong
Poster
None
Isolating and Leveraging Controllable and Noncontrollable Visual Dynamics in World Models
Minting Pan · Xiangming Zhu · Yunbo Wang · Xiaokang Yang
Poster
None
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
Yongsen Mao · Yiming Zhang · Hanxiao Jiang · Angel Chang · Manolis Savva
Poster
None
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation
YUANWEI LIU · Nian Liu · Xiwen Yao · Junwei Han
Poster
None
Active Bayesian Causal Inference
Christian Toth · Lars Lorch · Christian Knoll · Andreas Krause · Franz Pernkopf · Robert Peharz · Julius von Kügelgen
Poster
None
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Dong Hoon Lee · Choi Sungik · Hyunwoo Kim · Sae-Young Chung
Poster
None
VisFIS: Improved Visual Feature Importance Supervision with Right-for-Right-Reason Objectives
Zhuofan Ying · Peter Hase · Mohit Bansal
Poster
None
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin · Chudi Zhong · Zhi Chen · Takuya Takagi · Margo Seltzer · Cynthia Rudin
Poster
None
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Mohammad Reza Taesiri · Giang Nguyen · Anh Nguyen
Poster
None
A Simple Approach to Automated Spectral Clustering
Jicong Fan · Zhao Zhang · Yiheng Tu · Mingbo Zhao · Haijun Zhang
Poster
None
Perturbation Learning Based Anomaly Detection
Jinyu Cai · Jicong Fan
Poster
None
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Zhang Haojie · Ge Li · Jia Li · Zhongjin Zhang · YUQI ZHU · Zhi Jin
Poster
None
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang · Xuezhou Zhang · Mengdi Wang
Poster
None
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
CHAO TU · YU ZHANG · Zhenyuan Ning
Poster
None
Multi-Objective Deep Learning with Adaptive Reference Vectors
Weiyu Chen · James Kwok
Poster
None
Drawing out of Distribution with Neuro-Symbolic Generative Models
Yichao Liang · Josh Tenenbaum · Tuan Anh Le · Siddharth N
Poster
None
Lossless Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Lingyu Gu · Yongqi Du · yuan zhang · Di Xie · Shiliang Pu · Robert Qiu · Zhenyu Liao
Poster
None
Graph Learning Assisted Multi-Objective Integer Programming
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang · Abhishek Gupta · Mingyan Lin
Poster
None
CCCP is Frank-Wolfe in disguise
Alp Yurtsever · Suvrit Sra
Poster
None
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen · Zhehao Huang · Qinghua Tao · Yingwen Wu · Cihang Xie · Xiaolin Huang
Poster
None
Multi-view Subspace Clustering on Topological Manifold
Shudong Huang · Hongjie Wu · Yazhou Ren · Ivor Tsang · Zenglin Xu · Jiancheng Lv · Wentao Feng
Poster
None
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization
Siqi SHEN · Mengwei Qiu · Jun Liu · Weiquan Liu · Yongquan Fu · Xinwang Liu · Cheng Wang
Poster
None
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Siwei Wang · Xinwang Liu · Suyuan Liu · Jiaqi Jin · Wenxuan Tu · Xinzhong Zhu · En Zhu
Poster
None
Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions
Anupam Gupta · Debmalya Panigrahi · Bernardo Subercaseaux · Kevin Sun
Poster
None
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Xin-Chun Li · Wen-shu Fan · Shaoming Song · Yinchuan Li · bingshuai Li · Shao Yunfeng · De-Chuan Zhan
Poster
None
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Ashwinkumar Badanidiyuru Varadaraja · Zhe Feng · Tianxi Li · Haifeng Xu
Poster
None
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Jibang Wu · Weiran Shen · Fei Fang · Haifeng Xu
Poster
None
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Stephanie Schoch · Haifeng Xu · Yangfeng Ji
Poster
None
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper · Max Nadeau · Dylan Hadfield-Menell · Gabriel Kreiman
Poster
None
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne
Poster
None
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
Biru Zhu · Yujia Qin · Ganqu Cui · Yangyi Chen · Weilin Zhao · Chong Fu · Yangdong Deng · Zhiyuan Liu · Jingang Wang · Wei Wu · Maosong Sun · Ming Gu
Poster
None
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yifei Zhou · Renyu Li · Hayden Housen · Ser Nam Lim
Poster
None
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Ling LIANG · Kaidi Xu · Xing Hu · Lei Deng · Yuan Xie
Poster
None
Generative Time Series Forecasting with Diffusion, Denoise and Disentanglement
Yan Li · Xinjiang Lu · Yaqing Wang · Dejing Dou
Poster
None
Learning from a Sample in Online Algorithms
C.J. Argue · Anupam Gupta · Alan Frieze · Christopher Seiler
Poster
None
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
Poster
None
Physical Design using Differentiable Learned Simulators
Kelsey Allen · Tatiana Lopez-Guevara · Kimberly Stachenfeld · Alvaro Sanchez Gonzalez · Peter Battaglia · Jessica Hamrick · Tobias Pfaff
Poster
None
Supervised Training of Conditional Monge Maps
Charlotte Bunne · Andreas Krause · Marco Cuturi
Poster
None
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
Rao Fu · Xiao Zhan · YIWEN CHEN · Daniel Ritchie · Srinath Sridhar
Poster
None
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
Poster
None
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang · Maggie Makar · Michael Sjoding · Finale Doshi-Velez · Jenna Wiens
Poster
None
Learning Concept Credible Models for Mitigating Shortcuts
Jiaxuan Wang · Sarah Jabbour · Maggie Makar · Michael Sjoding · Jenna Wiens
Poster
None
Predictive Querying for Autoregressive Neural Sequence Models
Alex Boyd · Samuel Showalter · Stephan Mandt · Padhraic Smyth
Poster
None
Blackbox Attacks via Surrogate Ensemble Search
Zikui Cai · Srikanth Krishnamurthy · Chengyu Song · Amit Roy-Chowdhury · Salman Asif
Poster
None
Pruning has a disparate impact on model accuracy
Cuong Tran · Ferdinando Fioretto · Jung-Eun Kim · Rakshit Naidu
Poster
None
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
Guan Gui · Zhen Zhao · Lei Qi · Luping Zhou · Lei Wang · Yinghuan Shi
Poster
None
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun · Kwangjun Ahn · Christos Thrampoulidis · Navid Azizan
Poster
None
Associating Objects and Their Effects in Video through Coordination Games
Erika Lu · Forrester Cole · Weidi Xie · Tali Dekel · Bill Freeman · Andrew Zisserman · Michael Rubinstein
Poster
None
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang · Guangyu Gao · Yunchao Wei · Zhiyuan Fang · Jianbo Jiao
Poster
None
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
yunrui yu · Xitong Gao · Cheng-Zhong Xu
Poster
None
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
Emmanuel Abbe · Samy Bengio · Elisabetta Cornacchia · Jon Kleinberg · Aryo Lotfi · Maithra Raghu · Chiyuan Zhang
Poster
None
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich · Calvin-Khang Ta · Akash Gupta · Chengyu Song · Srikanth Krishnamurthy · Salman Asif · Amit Roy-Chowdhury
Poster
None
Are all Frames Equal? Active Sparse Labeling for Video Action Detection
Aayush Rana · Yogesh Rawat
Poster
None
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge · Tegan Emerson · Grayson Jorgenson · Scott Vasquez · Timothy Doster · Jesse Lew
Poster
None
MABSplit: Faster Forest Training Using Multi-Armed Bandits
Mo Tiwari · Ryan Kang · Jaeyong Lee · Chris Piech · Ilan Shomorony · Sebastian Thrun · Martin Zhang
Poster
None
Self-Aware Personalized Federated Learning
Huili Chen · Jie Ding · Eric W Tramel · Shuang Wu · Anit Kumar Sahu · Salman Avestimehr · Tao Zhang
Poster
None
Exploitability Minimization in Games and Beyond
Denizalp Goktas · Amy Greenwald
Poster
None
Neural Circuit Architectural Priors for Embodied Control
Nikhil Bhattasali · Anthony M Zador · Tatiana Engel
Poster
None
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Hanhan Zhou · Tian Lan · Vaneet Aggarwal
Poster
None
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Xiaoyu Chen · Xiangming Zhu · Yufeng Zheng · Pushi Zhang · Li Zhao · Wenxue Cheng · Peng CHENG · Yongqiang Xiong · Tao Qin · Jianyu Chen · Tie-Yan Liu
Poster
None
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
Yan Dai · Haipeng Luo · Liyu Chen
Poster
None
Graph Few-shot Learning with Task-specific Structures
Song Wang · Chen Chen · Jundong Li
Poster
None
CLEAR: Generative Counterfactual Explanations on Graphs
Jing Ma · Ruocheng Guo · Saumitra Mishra · Aidong Zhang · Jundong Li
Poster
None
Stability and Scalability of Node Perturbation Learning
Naoki Hiratani · Yash Mehta · Timothy Lillicrap · Peter E Latham
Poster
None
Zero-Sum Stochastic Stackelberg Games
Denizalp Goktas · Jiayi Zhao · Amy Greenwald
Poster
None
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim · Matthew Riemer · Miao Liu · Jakob Foerster · Michael Everett · Chuangchuang Sun · Gerald Tesauro · Jonathan How
Poster
None
Safe Opponent-Exploitation Subgame Refinement
Mingyang Liu · Chengjie Wu · Qihan Liu · Yansen Jing · Jun Yang · Pingzhong Tang · Chongjie Zhang
Poster
None
PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration
Xuan Li · Yadi Cao · Minchen Li · Yin Yang · Craig Schroeder · Chenfanfu Jiang
Poster
None
Wavelet Score-Based Generative Modeling
Florentin Guth · Simon Coste · Valentin De Bortoli · Stephane Mallat
Poster
None
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang · Chicheng Zhang · Kwang-Sung Jun
Poster
None
On Viewpoint Robustness of Visual Recognition in the Wild
Yinpeng Dong · Shouwei Ruan · Hang Su · Caixin Kang · Xingxing Wei · Jun Zhu
Poster
None
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Ruibo Liu · Chenyan Jia · Ge Zhang · Ziyu Zhuang · Tony Liu · Soroush Vosoughi
Poster
None
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
Kounianhua Du · Weinan Zhang · Ruiwen Zhou · Yangkun Wang · Xilong Zhao · Jiarui Jin · Quan Gan · Zheng Zhang · David P Wipf
Poster
None
Global Optimal K-Medoids Clustering of One Million Samples
Jiayang Ren · Kaixun Hua · Yankai Cao
Poster
None
Confidence-based Reliable Learning under Dual Noises
Peng Cui · Yang Yue · Zhijie Deng · Jun Zhu
Poster
None
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng · Feng Zhou · Jun Zhu
Poster
None
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
John Duchi · Vitaly Feldman · Lunjia Hu · Kunal Talwar
Poster
None
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Kunal Singh · Luca Weihs · Alvaro Herrasti · Jonghyun Choi · Aniruddha Kembhavi · Roozbeh Mottaghi
Poster
None
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke · Eli VanderBilt · Alvaro Herrasti · Winson Han · Luca Weihs · Kiana Ehsani · Jordi Salvador · Eric Kolve · Aniruddha Kembhavi · Roozbeh Mottaghi
Poster
None
RecZilla: Algorithm Selection for Recommender Systems
Duncan McElfresh · Sujay Khandagale · Jonathan Valverde · John Dickerson · Colin White
Poster
None
Meta-learning for Feature Selection with Hilbert-Schmidt Independence Criterion
Atsutoshi Kumagai · Tomoharu Iwata · Yasutoshi Ida · Yasuhiro Fujiwara
Poster
None
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda
Poster
None
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
Poster
None
Alleviating the Sampling Bias of Few Shot Data by Removing Projection to the Centroid
Jing Xu · Xu Luo · Xinglin Pan · Yanan Li · Wenjie Pei · Zenglin Xu
Poster
None
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar · Kshitij Gupta · Anirudh Goyal · Alex Lamb · Nan Rosemary Ke · Yoshua Bengio
Poster
None
Learning dynamics of deep linear networks with multiple pathways
Jianghong Shi · Eric Shea-Brown · Michael Buice
Poster
None
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Harsh Rangwani · shrinivas ramasubramanian · Sho Takemori · Kato Takashi · Yuhei Umeda · Venkatesh Babu R
Poster
None
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
Jonathan Wilton · Nan Ye · Miao Xu · Abigail Koay · Ryan Ko
Poster
None
Doubly Robust Counterfactual Classification
Kwangho Kim · Edward Kennedy · Jose Zubizarreta
Poster
None
Provable Defense against Backdoor Policies in Reinforcement Learning
Shubham Bharti · Xuezhou Zhang · Adish Singla · Jerry Zhu
Poster
None
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval
Hao Li · Jingkuan Song · Lianli Gao · Pengpeng Zeng · Haonan Zhang · Gongfu Li
Poster
None
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Arsene Fansi Tchango · Zhi Wen · Gaetan Marceau Caron · Joumana Ghosn · Rishab Goel · Julien Martel
Poster
None
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
Dae Ha Kim · Byung Cheol Song
Poster
None
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
Poster
None
Learning Best Combination for Efficient N:M Sparsity
Yuxin Zhang · Mingbao Lin · ZhiHang Lin · Yiting Luo · Ke Li · Fei Chao · Yongjian Wu · Rongrong Ji
Poster
None
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
Ninh Pham · Tao Liu
Poster
None
Staircase Attention for Recurrent Processing of Sequences
Da JU · Stephen Roller · Sainbayar Sukhbaatar · Jason E Weston
Poster
None
LIFT: Language-Interfaced FineTuning for Non-language Machine Learning Tasks
Tuan Dinh · Yuchen Zeng · Ruisu Zhang · Ziqian Lin · Michael Gira · Shashank Rajput · Jy-yong Sohn · Dimitris Papailiopoulos · Kangwook Lee
Poster
None
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Haiyang Wang · lihe Ding · Shaocong Dong · Shaoshuai Shi · Aoxue Li · Jianan Li · Zhenguo Li · Liwei Wang
Poster
None
Active Learning Helps Pretrained Models Learn the Intended Task
Alex Tamkin · Dat Nguyen · Salil Deshpande · Jesse Mu · Noah Goodman
Poster
None
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi · Ting-Han Fan · Peter J Ramadge · Alexander Rudnicky
Poster
None
On the Learning Mechanisms in Physical Reasoning
Shiqian Li · Kewen Wu · Chi Zhang · Yixin Zhu
Poster
None
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Runze Liu · Fengshuo Bai · Yali Du · Yaodong Yang
Poster
None
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Zhecheng Yuan · Zhengrong Xue · Bo Yuan · Xueqian Wang · YI WU · Yang Gao · Huazhe Xu
Poster
None
Quantized Training of Gradient Boosted Decision Trees
Yu Shi · Guolin Ke · Zhuoming Chen · Shuxin Zheng · Tie-Yan Liu
Poster
None
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
ZHIHAO TAN · Yi Xie · Yuan Jiang · Zhi-Hua Zhou
Poster
None
Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong · Zhixiang Chi · Li Gu · Yang Wang · Yuanhao Yu · Jin Tang
Poster
None
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Chuanxia Zheng · Tung-Long Vuong · Jianfei Cai · Dinh Phung
Poster
None
A Neural Corpus Indexer for Document Retrieval
Yujing Wang · Haonan Wang · Yingyan Hou · Ziming Miao · Shibin Wu · Hao Sun · Qi Chen · Yuqing Xia · Chengmin Chi · Guoshuai Zhao · Zheng Liu · Xing Xie · Hao Sun · Weiwei Deng · Qi Zhang · Mao Yang
Poster
None
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
Poster
None
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
Poster
None
On the Symmetries of Deep Learning Models and their Internal Representations
Charlie Godfrey · Davis Brown · Tegan Emerson · Henry Kvinge
Poster
None
A General Framework for Auditing Differentially Private Machine Learning
Fred Lu · Joseph Munoz · Maya Fuchs · Tyler LeBlond · Elliott Zaresky-Williams · Edward Raff · Francis Ferraro · Brian Testa
Poster
None
Learning Deep Input-Output Stable Dynamics
Ryosuke Kojima · Yuji Okamoto
Poster
None
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations
Yipei Wang · Xiaoqian Wang
Poster
None
Self-Supervised Fair Representation Learning without Demographics
Junyi Chai · Xiaoqian Wang
Poster
None
Fairness without Demographics through Knowledge Distillation
Junyi Chai · Taeuk Jang · Xiaoqian Wang
Poster
None
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels
Ming-Kun Xie · Jia-Hao Xiao · Sheng-Jun Huang
Poster
None
Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian · Rahul Arya · Anant Sahai
Poster
None
Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa · Harald Oberhauser · Terry Lyons
Poster
None
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Peng Ye · Shengji Tang · Baopu Li · Tao Chen · Wanli Ouyang
Poster
None
Geodesic Graph Neural Network for Efficient Graph Representation Learning
Lecheng Kong · Muhan Zhang · Yixin Chen
Poster
None
Fast Vision Transformers with HiLo Attention
Zizheng Pan · Jianfei Cai · Bohan Zhuang
Poster
None
EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu · Zizheng Pan · Haoyu He · Jianfei Cai · Bohan Zhuang
Poster
None
Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network
Changfeng Ma · Yang Yang · Jie Guo · Fei Pan · Chongjun Wang · Yanwen Guo
Poster
None
Discovery of Single Independent Latent Variable
Uri Shaham · Jonathan Svirsky · Ori Katz · Ronen Talmon
Poster
None
TREC: Transient Redundancy Elimination-based Convolution
Jiawei Guan · Feng Zhang · Jiesong Liu · Hsin-Hsuan Sung · Ruofan Wu · Xiaoyong Du · Xipeng Shen
Poster
None
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu · Xiaosong Jia · Li Chen · Junchi Yan · Hongyang Li · Yu Qiao
Poster
None
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin J Xu
Poster
None
Towards Understanding the Condensation of Neural Networks at Initial Training
Hanxu Zhou · Zhou Qixuan · Tao Luo · Yaoyu Zhang · Zhi-Qin J Xu
Poster
None
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Yang Shu · Zhangjie Cao · Ziyang Zhang · Jianmin Wang · Mingsheng Long
Poster
None
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero · Yann LeCun
Poster
None
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
Khaled Nakhleh · I-Hong Hou
Poster
None
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs
Ming Jin · Yuan-Fang Li · Shirui Pan
Poster
None
Your Out-of-Distribution Detection Method is not Robust!
Mohammad Azizmalayeri · Arshia Soltani Moakar · Arman Zarei · Reihaneh Zohrabi · Mohammad Manzuri · Mohammad Hossein Rohban
Poster
None
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack · Jongjin Park · Hankook Lee · Jaeho Lee · Jinwoo Shin
Poster
None
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan · Guodong Long · Jie Ma · LU LIU · Tianyi Zhou · Jing Jiang
Poster
None
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Songkai Xue · Yuekai Sun · Mikhail Yurochkin
Poster
None
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou · Gitta Kutyniok · Bruno Ribeiro
Poster
None
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang · Mingxuan Xia · Yixuan Li · Yuren Mao · Lei Feng · Gang Chen · Junbo Zhao
Poster
None
On Robust Multiclass Learnability
Jingyuan Xu · Weiwei Liu
Poster
None
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge
Hongjing Niu · Hanting Li · Feng Zhao · Bin Li
Poster
None
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation
Kien Do · Thai Hung Le · Dung Nguyen · Dang Nguyen · HARIPRIYA HARIKUMAR · Truyen Tran · Santu Rana · Svetha Venkatesh
Poster
None
Learning to Constrain Policy Optimization with Virtual Trust Region
Thai Hung Le · Thommen Karimpanal George · Majid Abdolshah · Dung Nguyen · Kien Do · Sunil Gupta · Svetha Venkatesh
Poster
None
Information-Theoretic Generative Model Compression with Variational Energy-based Model
Minsoo Kang · Hyewon Yoo · Eunhee Kang · Sehwan Ki · Hyong Euk Lee · Bohyung Han
Poster
None
Compressible-composable NeRF via Rank-residual Decomposition
Jiaxiang Tang · Xiaokang Chen · Jingbo Wang · Gang Zeng
Poster
None
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
Heng Lian
Poster
None
A Solver-free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani · Rishabh Ranjan · - Mausam · Parag Singla
Poster
None
Neural Matching Fields: Implicit Representation of Matching Cost for Semantic Correspondence
Sunghwan Hong · Seungryong Kim · Dongbo Min · Sangryul Jeon · Seokju Cho · Susung Hong · Jisu Nam
Poster
None
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
Xingyu Qu · Diyang Li · Xiaohan Zhao · Bin Gu
Poster
None
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Eloïse Berthier · Ziad Kobeissi · Francis Bach
Poster
None
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
YIZHEN ZHENG · Shirui Pan · Vincent Lee · Yu Zheng · Philip S Yu
Poster
None
Leaning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
Zhiyu Zhu · Junhui Hou · Xianqiang Lyu
Poster
None
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
Yufei Xu · Jing Zhang · Qiming ZHANG · Dacheng Tao
Poster
None
WT-MVSNet: Window-based Transformers for Multi-view Stereo
Jinli Liao · Yikang Ding · Yoli Shavit · Dihe Huang · Shihao Ren · Jia Guo · Kai Zhang · Wensen Feng
Poster
None
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
shaohui peng · Xing Hu · Rui Zhang · Ke Tang · Jiaming Guo · Qi Yi · Ruizhi Chen · xishan zhang · Zidong Du · Ling Li · Qi Guo · Yunji Chen
Poster
None
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang · Xumin Yu · Yongming Rao · Jie Zhou · Jiwen Lu
Poster
None
Neural Shape Deformation Priors
Jiapeng Tang · Lev Markhasin · Bi Wang · Justus Thies · Matthias Niessner
Poster
None
Bringing Efficiency and Interpretability to Learned TCP Congestion Control
S P Sharan · Wenqing Zheng · Kuo-Feng Hsu · Jiarong Xing · Ang Chen · Zhangyang Wang
Poster
None
Geometric Order Learning for Rank Estimation
Seon-Ho Lee · Nyeong Ho Shin · Chang-Su Kim
Poster
None
Energy-Based Contrastive Learning of Visual Representations
Beomsu Kim · Jong Chul Ye
Poster
None
A2: Efficient Automated Attacker for Boosting Adversarial Training
Zhuoer Xu · Guanghui Zhu · Changhua Meng · shiwen cui · Zhenzhe Ying · Weiqiang Wang · Ming GU · Yihua Huang
Poster
None
Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo · Guang Tan
Poster
None
Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
Poster
None
Less-forgetting Multi-lingual Fine-tuning
Yuren Mao · Yaobo Liang · Nan Duan · Haobo Wang · Kai Wang · Lu Chen · Yunjun Gao
Poster
None
Old can be Gold: Better Gradient Flow can make Vanilla-GCNs Great Again
AJAY JAISWAL · Peihao Wang · Tianlong Chen · Justin Rousseau · Ying Ding · Zhangyang Wang
Poster
None
Generalization Analysis on Learning with a Concurrent Verifier
Masaaki Nishino · Kengo Nakamura · Norihito Yasuda
Poster
None
Discovered Policy Optimisation
Chris Lu · Jakub Kuba · Alistair Letcher · Luke Metz · Christian Schroeder de Witt · Jakob Foerster
Poster
None
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
Yash Chandak · Shiv Shankar · Nathaniel Bastian · Bruno da Silva · Emma Brunskill · Philip Thomas
Poster
None
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Yuanxin Liu · Fandong Meng · Zheng Lin · Jiangnan Li · Peng Fu · Yanan Cao · Weiping Wang · Jie Zhou
Poster
None
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng · Jiaxin Huang · Yu Zhang · Jiawei Han
Poster
None
SNAKE: Shape-aware Neural 3D Keypoint Field
Chengliang Zhong · Peixing You · Xiaoxue Chen · Hao Zhao · Fuchun Sun · Guyue Zhou · Xiaodong Mu · Chuang Gan · Wenbing Huang
Poster
None
Implicit Neural Representations with Levels-of-Experts
Zekun Hao · Arun Mallya · Serge Belongie · Ming-Yu Liu
Poster
None
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
yabo zhang · mingshuai Yao · Yuxiang Wei · Zhilong Ji · Jinfeng Bai · Wangmeng Zuo
Poster
None
Matching in Multi-arm Bandit with Collision
YiRui Zhang · Siwei Wang · Zhixuan Fang
Poster
None
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu · Haixu Wu · Zihan Qiu · Jianmin Wang · Mingsheng Long
Poster
None
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
Xiwen Liang · Yangxin Wu · Jianhua Han · Hang Xu · Chunjing XU · Xiaodan Liang
Poster
None
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
Alexander Kolesnikov · André Susano Pinto · Lucas Beyer · Xiaohua Zhai · Jeremiah Harmsen · Neil Houlsby
Poster
None
Sustainable Online Reinforcement Learning for Auto-bidding
Zhiyu Mou · Yusen Huo · Rongquan Bai · Mingzhou Xie · Chuan Yu · Jian Xu · Bo Zheng
Poster
None
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi
Poster
None
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery
Wiebke Günther · Urmi Ninad · Jonas Wahl · Jakob Runge
Poster
None
Unsupervised Skill Discovery via Recurrent Skill Training
Zheyuan Jiang · Jingyue Gao · Jianyu Chen
Poster
None
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le · Yue Wang · Akhilesh Gotmare · Silvio Savarese · Steven Chu Hong Hoi
Poster
None
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions
Xufeng Cai · Chaobing Song · Cristóbal Guzmán · Jelena Diakonikolas
Poster
None
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
Grigory Malinovsky · Kai Yi · Peter Richtarik
Poster
None
Mask Matching Transformer for Few-Shot Segmentation
siyu jiao · Gengwei Zhang · Shant Navasardyan · Ling Chen · Yao Zhao · Yunchao Wei · Honghui Shi
Poster
None
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
Jiafei Lyu · Xiu Li · Zongqing Lu
Poster
None
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Zixuan Wang · Zhouzi Li · Jian Li
Poster
None
Width and Depth Guidelines for Deep Q-Learning: A Function Approximation Perspective
Fanghui Liu · Luca Viano · Volkan Cevher
Poster
None
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
Dandan Guo · Zhuo Li · meixi zheng · He Zhao · Mingyuan Zhou · Hongyuan Zha
Poster
None
A Data-Augmentation Is Worth A Thousand Samples
Randall Balestriero · Ishan Misra · Yann LeCun
Poster
None
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
Poster
None
Learning Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo · Sayan Ranu · N M Anoop Krishnan
Poster
None
GREED: A Neural Framework for Learning Graph Distance Functions
Rishabh Ranjan · Siddharth Grover · Sourav Medya · Venkatesan Chakaravarthy · Yogish Sabharwal · Sayan Ranu
Poster
None
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Yushi Cao · Zhiming Li · Tianpei Yang · Hao Zhang · YAN ZHENG · Yi Li · Jianye Hao · Yang Liu
Poster
None
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello · Bryon Aragam · Pradeep Ravikumar
Poster
None
Local Latent Space Bayesian Optimization over Structured Inputs
Natalie Maus · Haydn Jones · Juston Moore · Matt Kusner · John Bradshaw · Jacob Gardner
Poster
None
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
HAOYUE DAI · Peter Spirtes · Kun Zhang
Poster
None
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Tingting Liang · Hongwei Xie · Kaicheng Yu · Zhongyu Xia · Zhiwei Lin · Yongtao Wang · Tao Tang · Bing Wang · Zhi Tang
Poster
None
SoftCore: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang · Jianlin Liu · Jinbao Wang · Qiang Nie · Kai WU · Yong Liu · Chengjie Wang · Feng Zheng
Poster
None
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su · Xun Xu · Kui Jia
Poster
None
Two-Stream Network for Sign Language Recognition and Translation
Yutong Chen · Ronglai Zuo · Fangyun Wei · Yu Wu · Shujie LIU · Brian Mak
Poster
None
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
Jinyuan Jia · Wenjie Qu · Neil Gong
Poster
None
Neural Transmitted Radiance Fields
Chengxuan Zhu · Renjie Wan · Boxin Shi
Poster
None
Coresets for Wasserstein Distributionally Robust Optimization Problems
Ruomin Huang · Jiawei Huang · Wenjie Liu · Hu Ding
Poster
None
Coresets for Relational Data and The Applications
Jiaxiang Chen · Qingyuan Yang · Ruomin Huang · Hu Ding
Poster
None
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
Chunyu Wei · Jian Liang · Di Liu · Fei Wang
Poster
None
To update or not to update? Neurons at equilibrium in deep models
Andrea Bragagnolo · Enzo Tartaglione · Marco Grangetto
Poster
None
A Consistent, Scalable, and Differentiable Lp Canonical Calibration Error Estimator
Teodora Popordanoska · Raphael Sayer · Matthew Blaschko
Poster
None
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello · Thomas FEL · David Vigouroux
Poster
None
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Derek Hill · Lalit Ghule · Jay Pathak
Poster
None
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu · Weihang Xu · Siwei Wang · Zhixuan Fang
Poster
None
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu · Jinhang Zuo · Siwei Wang · Carlee Joe-Wong · John C.S. Lui · Wei Chen
Poster
None
Learning interacting dynamical systems with latent Gaussian process ODEs
Cagatay Yildiz · Melih Kandemir · Barbara Rakitsch
Poster
None
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis · Francisco Antunes · Frederik Hüttel · Carlos Lima Azevedo · Francisco Pereira
Poster
None
Sparse Fourier Backpropagation in Cryo-EM Reconstruction
Dari Kimanius · Kiarash Jamali · Sjors Scheres
Poster
None
A Geometric Perspective on Variational Autoencoders
Clément Chadebec · Stephanie Allassonniere
Poster
None
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park · Yooju Shin · Jihwan Bang · Youngjun Lee · Hwanjun Song · Jae-Gil Lee
Poster
None
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets
Zhiying Lu · Hongtao Xie · Chuanbin Liu · Yongdong Zhang
Poster
None
Exploring Example Influence in Continual Learning
Qing Sun · Fan Lyu · Fanhua Shang · Wei Feng · Liang Wan
Poster
None
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
Jiaqi Yang · De-Chuan Zhan
Poster
None
Logical Credal Networks
Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu
Poster
None
RecursiveMix: Mixed Learning with History
Lingfeng Yang · Xiang Li · Borui Zhao · Renjie Song · Jian Yang
Poster
None
Fast Distance Oracles for Any Symmetric Norm
Yichuan Deng · Zhao Song · OMRI WEINSTEIN · Ruizhe Zhang
Poster
None
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou · Tao Liu · Dileep Kalathil · P. R. Kumar · Chao Tian
Poster
None
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li · Ruizhe Zhang
Poster
None
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
Poster
None
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel · Oskar Kviman · Harald Melin · Negar Safinianaini · Jens Lagergren
Poster
None
What Makes Graph Neural Networks Miscalibrated?
Hans Hao-Hsun Hsu · Yuesong Shen · Christian Tomani · Daniel Cremers
Poster
None
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Jian Li · Xuanyuan Luo
Poster
None
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion
Haixu Ma · Donglin Zeng · Yufeng Liu
Poster
None
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
Jia-Wei Liu · Yan-Pei Cao · Weijia Mao · Wenqiao Zhang · David Junhao Zhang · Jussi Keppo · Ying Shan · Xiaohu Qie · Mike Zheng Shou
Poster
None
ZIN: When and How to Learn Invariance by Environment Inference?
LIN Yong · Shengyu Zhu · Lu Tan · Peng Cui
Poster
None
GFlowCausal: Generative Flow Networks for Causal Discovery
Wenqian Li · Yinchuan Li · Shengyu Zhu · Shao Yunfeng · Jianye Hao · Yan Pang
Poster
None
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates
Junlong Lyu · Zhitang Chen · Chang Feng · Wenjing Cun · Shengyu Zhu · Yanhui Geng · ZHIJIE XU · Chen Yongwei
Poster
None
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Shizhe Chen · Pierre-Louis Guhur · Makarand Tapaswi · Cordelia Schmid · Ivan Laptev
Poster
None
CascadeXML: End-to-end Multi-Resolution Learning for Extreme Multi-Label Text Classification
Siddhant Kharbanda · Atmadeep Banerjee · Erik Schultheis · Rohit Babbar
Poster
None
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis · Elliot Creager · Ajay Mandlekar · Animesh Garg
Poster
None
CoNT: Contrastive Neural Text Generation
Chenxin An · Jiangtao Feng · Kai Lv · Lingpeng Kong · Xipeng Qiu · Xuanjing Huang
Poster
None
Partial Identification of Treatment Effects with Implicit Generative Models
Vahid Balazadeh Meresht · Vasilis Syrgkanis · Rahul Krishnan
Poster
None
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua · Jiayang Ren · Yankai Cao
Poster
None
Quasi-Newton Methods for Saddle Point Problems
Chengchang Liu · Luo Luo
Poster
None
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits
Geovani Rizk · Igor Colin · Albert Thomas · Rida Laraki · Yann Chevaleyre
Poster
None
Rethinking Generalization in Few-Shot Classification
Markus Hiller · Rongkai Ma · Mehrtash Harandi · Tom Drummond
Poster
None
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang · yaxing wang · kai wang · Shangling Jui · Joost van de Weijer
Poster
None
BagFlip: A Certified Defense Against Data Poisoning
Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni
Poster
None
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds
Shaocong Dong · lihe Ding · Haiyang Wang · Tingfa Xu · Xinli Xu · Jie Wang · Ziyang Bian · Ying Wang · Jianan Li
Poster
None
Neural-Symbolic Entangled Framework for Complex Query Answering
Zezhong Xu · Wen Zhang · Peng Ye · Hui Chen · Huajun Chen
Poster
None
Fine-tuning language models to find consensus among humans with diverse preferences
Michiel Bakker · Martin Chadwick · Hannah Sheahan · Michael Tessler · Lucy Campbell-Gillingham · Jan Balaguer · Nat McAleese · Amelia Glaese · John Aslanides · Matt Botvinick · Christopher Summerfield
Poster
None
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation
Youngmin Oh · Donghyeon Baek · Bumsub Ham
Poster
None
Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
Poster
None
BiT: Robustly Binarized Multi-distilled Transformer
Zechun Liu · Barlas Oguz · Aasish Pappu · Lin Xiao · Scott Yih · Meng Li · Raghuraman Krishnamoorthi · Yashar Mehdad
Poster
None
Local-Global MCMC kernels: the best of both worlds
Sergey Samsonov · Evgeny Lagutin · Marylou Gabrié · Alain Durmus · Alexey Naumov · Eric Moulines
Poster
None
CARD: Classification and Regression Diffusion Models
Xizewen Han · Huangjie Zheng · Mingyuan Zhou
Poster
None
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies
Jonathan Laurent · Andre Platzer
Poster
None
You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
Jiangxin Sun · Chunyu Wang · Huang Hu · Hanjiang Lai · Zhi Jin · Jian-Fang Hu
Poster
None
Extreme Compression for Pre-trained Transformers Made Simple and Efficient
Xiaoxia Wu · Zhewei Yao · Minjia Zhang · Conglong Li · Yuxiong He
Poster
None
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Zhewei Yao · Reza Yazdani Aminabadi · Minjia Zhang · Xiaoxia Wu · Conglong Li · Yuxiong He
Poster
None
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
Dongruo Zhou · Quanquan Gu
Poster
None
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He · Dongruo Zhou · Tong Zhang · Quanquan Gu
Poster
None
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
Yangru Huang · Peixi Peng · Yifan Zhao · Guangyao Chen · Yonghong Tian
Poster
None
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu · Stephen Smith · Stefan Mihalas · Eric Shea-Brown · Uygar Sümbül
Poster
None
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng · Chenliang Li · Alfredo Garcia · Mingyi Hong
Poster
None
Active Model Adaptation Under Changed Distributions
Jie-Jing Shao · Lan-Zhe Guo · Xiao-wen Yang · Yu-Feng Li
Poster
None
SU-SSL: Maximize Performance in Unseen Classes and Maintain Safeness in Seen Classes
Yi-Ge Zhang · Lan-Zhe Guo · Zhi-Fan Wu · Jie-Jing Shao · Yu-Feng Li
Poster
None
Chromatic Correlation Clustering, Revisited
Qing Xiu · Kai Han · Jing Tang · Shuang Cui · He Huang
Poster
None
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng · Shufeng Kong · Caihua Liu · Bo An
Poster
None
Redistricting via Local Fairness
Pankaj Agarwal · Shao-Heng Ko · Kamesh Munagala · Erin Taylor
Poster
None
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
Yuqiao Liu · Yehui Tang · Zeqiong Lv · Yunhe Wang · Yanan Sun
Poster
None
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst · Elisabeth Rumetshofer · Johannes Lehner · Viet Tran · Fei Tang · Hubert Ramsauer · David Kreil · Michael Kopp · Günter Klambauer · Angela Bitto · Sepp Hochreiter
Poster
None
MLA: MultiLingual Acquisition on Multimodal Pre-training
Liang Zhang · Anwen Hu · Qin Jin
Poster
None
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Fredrik Hellström · Giuseppe Durisi
Poster
None
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström · Giuseppe Durisi
Poster
None
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin
Poster
None
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs
Gellért Weisz · András György · Csaba Szepesvari
Poster
None
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Hui Yuan · Chengzhuo Ni · Huazheng Wang · Xuezhou Zhang · Le Cong · Csaba Szepesvari · Mengdi Wang
Poster
None
Provable Benefit of Multitask Representation Learning in Reinforcement Learning
Yuan Cheng · Songtao Feng · Jing Yang · Hong Zhang · Yingbin Liang
Poster
None
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
Yifan Zhang · Haiyan Jiang · Haojie Ren · Changliang Zou · Dejing Dou
Poster
None
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
Gang Li · Heliang Zheng · Daqing Liu · Chaoyue Wang · Bing Su · Changwen Zheng
Poster
None
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li
Poster
None
Optimistic Tree Searches for Combinatorial Black-Box Optimization
Cedric Malherbe · Antoine Grosnit · Rasul Tutunov · Haitham Bou Ammar · Jun Wang
Poster
None
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu
Poster
None
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Rui Yang · Chenjia Bai · Xiaoteng Ma · Zhaoran Wang · Chongjie Zhang · Lei Han
Poster
None
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
Ruoyu Cheng · Xianglong Lyu · Yang Li · Junjie Ye · Jianye Hao · Junchi Yan
Poster
None
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
Yang Li · Yichuan Mo · Liangliang Shi · Junchi Yan
Poster
None
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Anshuman Chhabra · Ashwin Sekhari · Prasant Mohapatra
Poster
None
Continual Learning In Environments With Polynomial Mixing Times
Matthew Riemer · Sharath Chandra Raparthy · Ignacio Cases · Gopeshh Subbaraj · Maximilian Puelma Touzel · Irina Rish
Poster
None
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Antonio Orvieto · Simon Lacoste-Julien · Nicolas Loizou
Poster
None
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi · Suraj Srinivas · Simon Lacoste-Julien
Poster
None
Private Multiparty Perception for Navigation
Hui Lu · Mia Chiquier · Carl Vondrick
Poster
None
DTMD: Learning Improvement of Spiking Neural Networks with Dynamic Thresholding Neurons and Moderate Dropout
SIQI WANG · Tee Hiang Cheng · Meng-Hiot Lim
Poster
None
Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
Poster
None
Audio-Driven Co-Speech Gesture Image Generation
Xian Liu · Qianyi Wu · Hang Zhou · Yuanqi Du · Wayne Wu · Dahua Lin · Ziwei Liu
Poster
None
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Zhi Gao · Yuwei Wu · Yunde Jia · Mehrtash Harandi
Poster
None
On Optimal Learning Under Targeted Data Poisoning
Idan Mehalel · Steve Hanneke · Shay Moran · Mohammad Mahmoody · Amin Karbasi
Poster
None
Theoretical analysis of deep neural networks for temporally dependent observations
Mingliang Ma · Abolfazl Safikhani
Poster
None
Local Identifiability of Deep ReLU Neural Networks: the Theory
Joachim Bona-Pellissier · François Malgouyres · Francois Bachoc
Poster
None
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang
Poster
None
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Ville Hyvönen · Elias Jääsaari · Teemu Roos
Poster
None
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution
Long Sun · Jinshan Pan · Jinhui Tang
Poster
None
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang · Gabriel Bender · Hanxiao Liu · Pieter-Jan Kindermans · Madeleine Udell · Yifeng Lu · Quoc V Le · Da Huang
Poster
None
OpenAUC: Towards AUC-Oriented Open-Set Recognition
Zitai Wang · Qianqian Xu · Zhiyong Yang · Yuan He · Xiaochun Cao · Qingming Huang
Poster
None
Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning
Yuko Ishiwaka · Xiao Zeng · Shun Ogawa · Donovan Westwater · Tadayuki Tone · Masaki Nakada
Poster
None
DivBO: Diversity-aware CASH for Ensemble Learning
Yu Shen · Yupeng Lu · Yang Li · Yaofeng Tu · Wentao Zhang · Bin CUI
Poster
None
Graph Neural Network Bandits
Parnian Kassraie · Andreas Krause · Ilija Bogunovic
Poster
None
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang · Sangjun Lee · Yunhyeok Kwak · Seong Joon Oh · Damien Teney · Jin-Hwa Kim · Byoung-Tak Zhang
Poster
None
Proximal Point Imitation Learning
Luca Viano · Angeliki Kamoutsi · Gergely Neu · Igor Krawczuk · Volkan Cevher
Poster
None
When to Update Your Model: Constrained Model-based Reinforcement Learning
Tianying Ji · Yu Luo · Fuchun Sun · Mingxuan Jing · Fengxiang He · Wenbing Huang
Poster
None
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang · Yanchao Sun · Jiahao Su · Fengxiang He · Xinmei Tian · Furong Huang · Tianyi Zhou · Dacheng Tao
Poster
None
Benefits of Permutation-Equivariance in Auction Mechanisms
Tian Qin · Fengxiang He · Dingfeng Shi · Wenbing Huang · Dacheng Tao
Poster
None
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
Jianhao Ding · Tong Bu · Zhaofei Yu · Jian Liu · Tiejun Huang
Poster
None
How and Why to Manipulate Your Own Agent: Modeling Games between Users of Learning Agents
Yoav Kolumbus · Noam Nisan
Poster
None
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On
Igor Santesteban · Miguel Otaduy · Nils Thuerey · Dan Casas
Poster
None
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu · Derek Tam · Muqeeth Mohammed · Jay Mohta · Tenghao Huang · Mohit Bansal · Colin Raffel
Poster
None
The Query Complexity of Cake Cutting
Simina Branzei · Noam Nisan
Poster
None
Incentivizing Combinatorial Bandit Exploration
Xinyan Hu · Dung Ngo · Aleksandrs Slivkins · Steven Wu
Poster
None
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
Nianzu Yang · Kaipeng Zeng · Qitian Wu · Xiaosong Jia · Junchi Yan
Poster
None
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets
Ruisi Cai · Zhenyu Zhang · Tianlong Chen · Xiaohan Chen · Zhangyang Wang
Poster
None
Geodesic Self-Attention for 3D Point Clouds
Zhengyu Li · Zihao Xu · Xihao Wang · XUAN TANG · Mingsong Chen · Hui Yu · xian wei
Poster
None
Concept Embedding Models
Mateo Espinosa Zarlenga · Pietro Barbiero · Gabriele Ciravegna · Giuseppe Marra · Francesco Giannini · Michelangelo Diligenti · Zohreh Shams · Frederic Precioso · Stefano Melacci · Adrian Weller · Pietro Lió · Mateja Jamnik
Poster
None
Autoformalization with Large Language Models
Yuhuai Wu · Albert Qiaochu Jiang · Wenda Li · Markus N Rabe · Charles Staats · Mateja Jamnik · Christian Szegedy
Poster
None
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
Albert Qiaochu Jiang · Wenda Li · Szymon Tworkowski · Konrad Czechowski · Tomasz Odrzygóźdź · Piotr Miłoś · Yuhuai Wu · Mateja Jamnik
Poster
None
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Zhizhou Ren · Anji Liu · Yitao Liang · Jian Peng · Jianzhu Ma
Poster
None
Conditional Diffusion Process for Inverse Halftoning
Hao Jiang · Yadong Mu
Poster
None
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
Ziyi Zhang · Weikai Chen · Hui Cheng · Zhen Li · Siyuan Li · Liang Lin · Guanbin Li
Poster
None
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh · Sungnyun Kim · Namgyu Ho · Jin-Hwa Kim · Hwanjun Song · Se-Young Yun
Poster
None
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
Shiro Takagi
Poster
None
Conformal Prediction with Temporal Quantile Adjustments
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
Poster
None
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali · Victor Veitch
Poster
None
Rethinking Lipschitz Neural Networks for Certified L-infinity Robustness
Bohang Zhang · Du Jiang · Di He · Liwei Wang
Poster
None
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Chuwei Wang · Shanda Li · Di He · Liwei Wang
Poster
None
Towards Improving Faithfulness in Abstractive Summarization
Xiuying Chen · Mingzhe Li · Xin Gao · Xiangliang Zhang
Poster
None
QUARK: Controllable Text Generation with Reinforced Unlearning
Ximing Lu · Sean Welleck · Liwei Jiang · John Hessel · Lianhui Qin · Peter West · Prithviraj Ammanabrolu · Yejin Choi
Poster
None
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
Seo Taek Kong · Soomin Jeon · Dongbin Na · Jaewon Lee · Hong-Seok Lee · Kyu-Hwan Jung
Poster
None
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
De Cheng · Yixiong Ning · Nannan Wang · Xinbo Gao · Heng Yang · Yuxuan Du · Bo Han · Tongliang Liu
Poster
None
Stochastic Second-Order Methods Provably Beat SGD For Gradient-Dominated Functions
Mohammadsaeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran
Poster
None
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Jonatha Anselmi · Bruno Gaujal · Louis-Sébastien Rebuffi
Poster
None
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
Pengfei Li · Beiwen Tian · Yongliang Shi · Xiaoxue Chen · Hao Zhao · Guyue Zhou · Ya-Qin Zhang
Poster
None
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Yang Hu · Adam Wierman · Guannan Qu
Poster
None
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
Yiheng Lin · Yang Hu · Guannan Qu · Tongxin Li · Adam Wierman
Poster
None
M2N: Mesh Movement Networks for PDE Solvers
Wenbin Song · Mingrui Zhang · Joseph Wallwork · Junpeng Gao · Zheng Tian · Fanglei Sun · Matthew Piggott · Junqing Chen · Zuoqiang Shi · Xiang Chen · Jun Wang
Poster
None
Hiding Images in Deep Probabilistic Models
Haoyu Chen · Linqi Song · Zhenxing Qian · Xinpeng Zhang · Kede Ma
Poster
None
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu · shubham sharma · Yiwen Qiu · Ming Li · Guyue Zhou · Jianming HU · Xianyuan Zhan
Poster
None
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
minjong Yoo · Sangwoo Cho · Honguk Woo
Poster
None
A Policy-Guided Imitation Approach for Offline Reinforcement Learning
Haoran Xu · Li Jiang · Li Jianxiong · Xianyuan Zhan
Poster
None
On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes · Xuan Long · Berk Ustun · Flavio Calmon
Poster
None
Self-Supervised Visual Representation Learning with Semantic Grouping
Xin Wen · Bingchen Zhao · Anlin Zheng · Xiangyu Zhang · Xiaojuan Qi
Poster
None
Collaborative Decision Making Using Action Suggestions
Dylan Asmar · Mykel J Kochenderfer
Poster
None
Entropy-Driven Mixed-Precision Quantization for Deep Network Design on IoT Devices
Zhenhong Sun · Ce Ge · Junyan Wang · Ming Lin · Hesen Chen · Hao Li · Xiuyu Sun
Poster
None
On the Robustness of Graph Neural Diffusion
Yang Song · Qiyu Kang · Sijie Wang · Zhao Kai · Wee Peng Tay
Poster
None
Uncovering the Structural Fairness in Graph Contrastive Learning
Ruijia Wang · Xiao Wang · Chuan Shi · Le Song
Poster
None
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang · Dingquan Li · Xiongkuo Min · Guangtao Zhai · Guodong Guo · Xiaokang Yang · Kede Ma
Poster
None
Visual Concepts Tokenization
Tao Yang · Yuwang Wang · Yan Lu · Nanning Zheng
Poster
None
Adversarial Reprogramming Revisited
Matthias Englert · Ranko Lazic
Poster
None
On the relationship between variational inference and auto-associative memory
Louis Annabi · Alexandre Pitti · Mathias Quoy
Poster
None
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Abir De · Soumen Chakrabarti
Poster
None
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
Giyoung Jeon · Haedong Jeong · Jaesik Choi
Poster
None
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu · dapeng li · Bin Zhang · Yuan Zhan · Yunpeng Baiia · Guoliang Fan
Poster
None
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
Poster
None
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
Jin Chen · Defu Lian · Yucheng Li · Baoyun Wang · Kai Zheng · Enhong Chen
Poster
None
Reconstructing Training Data From Trained Neural Networks
Niv Haim · Gal Vardi · Gilad Yehudai · Michal Irani · Ohad Shamir
Poster
None
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Zonghan Yang · Tianyu Pang · Yang Liu
Poster
None
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang · Yuyin Zhou · Shujun WANG · Varut Vardhanabhuti · Lequan Yu
Poster
None
TUSK: Task-Agnostic Unsupervised Keypoints
Yuhe Jin · Weiwei Sun · Jan Hosang · Eduard Trulls · Kwang Moo Yi
Poster
None
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Caizhi Tang · Huiyuan Wang · Xinyu Li · Qing Cui · Ya-Lin Zhang · Feng Zhu · Longfei Li · Jun Zhou · Linbo Jiang
Poster
None
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann · Enrique Fita Sanmartín · Fred Hamprecht
Poster
None
Sampling from Hyper-Representations to Generate Neural Network Weights
Konstantin Schürholt · Boris Knyazev · Xavier Giro-i-Nieto · Damian Borth
Poster
None
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
Keyu Yan · Man Zhou · Jie Huang · Chengjun Xie · Feng Zhao · Chongyi Li · Danfeng Hong
Poster
None
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
Salim I. Amoukou · Nicolas Brunel
Poster
None
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
Arnaud Delaunoy · Joeri Hermans · François Rozet · Antoine Wehenkel · Gilles Louppe
Poster
None
Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
Poster
None
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes
Tianqi Wei · Rana Alkhoury Maroun · Qinghai Guo · Barbara Webb
Poster
None
Improving Out-of-distribution Robustness by Adversarial Training with Structured Priors
Qixun Wang · Yifei Wang · Hong Zhu · Yisen Wang
Poster
None
Improving Adversarial Robustness of Vision Transformers
Yichuan Mo · Dongxian Wu · Yifei Wang · Yiwen Guo · Yisen Wang
Poster
None
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo · Yujun Li · Cheng Chen
Poster
None
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir
Poster
None
Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers
Sejun Park · Umut Simsekli · Murat Erdogdu
Poster
None
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis · EFSTRATIOS SKOULAKIS · Kimon Antonakopoulos · Leello Tadesse Dadi · Volkan Cevher
Poster
None
A First Approach to Universal Second-Order Acceleration for Convex Minimization
Ali Kavis · Kimon Antonakopoulos · Volkan Cevher
Poster
None
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting
Yong Liu · Haixu Wu · Jianmin Wang · Mingsheng Long
Poster
None
On the inability of Gaussian process regression to optimally learn compositional functions
Matteo Giordano · Kolyan Ray · Johannes Schmidt-Hieber
Poster
None
VCT: A Video Compression Transformer
Fabian Mentzer · George D Toderici · David Minnen · Sergi Caelles · Sung Hwang · Mario Lucic · Eirikur Agustsson
Poster
None
SKFlow: Learning Optical Flow with Super Kernel Sizes
SHANGKUN SUN · Yuanqi Chen · Ge Li · Yu Zhu · Guodong Guo
Poster
None
Latent Planning via Expansive Tree Search
Robert Gieselmann · Florian T. Pokorny
Poster
None
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Shachi Deshpande · Kaiwen Wang · Dhruv Sreenivas · Zheng Li · Volodymyr Kuleshov
Poster
None
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
Jiawei Jiang · Lukas Burkhalter · Fangcheng Fu · Bo Li · Bolin Ding · Bo Du · Anwar Hithnawi · Ce Zhang
Poster
None
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla · Gertjan Burghouts · Max van Spengler · Elise van der Pol · Rita Cucchiara · Pascal Mettes
Poster
None
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
Gene Chou · Ilya Chugunov · Felix Heide
Poster
None
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Elad Ben Avraham · Roei Herzig · Karttikeya Mangalam · Amir Bar · Anna Rohrbach · Leonid Karlinsky · Trevor Darrell · Amir Globerson
Poster
None
A Closer Look at Offline RL Agents
Yuwei Fu · Di Wu · Benoit Boulet
Poster
None
Score-Based Models Detect Manifolds
Jakiw Pidstrigach
Poster
None
An Investigation into Whitening Loss for Self-supervised Learning
Xi Weng · Lei Huang · Lei Zhao · Rao Anwer · Salman Khan · Fahad Shahbaz Khan
Poster
None
Multi-agent Dynamic Algorithm Configuration
Ke Xue · Jiacheng Xu · Lei Yuan · Miqing Li · Chao Qian · Zongzhang Zhang · Yang Yu
Poster
None
Efficient Multi-agent Communication via Self-supervised Information Aggregation
Cong Guan · Feng Chen · Lei Yuan · Chenghe Wang · Hao Yin · Zongzhang Zhang · Yang Yu
Poster
None
On the Importance of Gradient Norm in PAC-Bayesian Bounds
Itai Gat · Yossi Adi · Alex Schwing · Tamir Hazan
Poster
None
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu · Yuhao Zhou · Fan Bao · Jianfei Chen · Chongxuan LI · Jun Zhu
Poster
None
Understanding Neural Architecture Search: Convergence and Generalization
Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher
Poster
None
Neural Networks with Hadamard Product: Separation on Extrapolation and Spectral Bias
Yongtao Wu · Zhenyu Zhu · Fanghui Liu · Grigorios Chrysos · Volkan Cevher
Poster
None
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang · Ziyu Guo · Peng Gao · Rongyao Fang · Bin Zhao · Dong Wang · Yu Qiao · hongsheng Li
Poster
None
Contextual Bandits with Knapsacks for a Conversion Model
Zhen LI · Gilles Stoltz
Poster
None
Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
Poster
None
Scalable Infomin Learning
Yanzhi Chen · weihao sun · Yingzhen Li · Adrian Weller
Poster
None
Unified Optimal Transport Framework for Universal Domain Adaptation
Wanxing Chang · Ye Shi · Hoang Tuan · Jingya Wang
Poster
None
LION: Latent Point Diffusion Models for 3D Shape Generation
xiaohui zeng · Arash Vahdat · Francis Williams · Zan Gojcic · Or Litany · Sanja Fidler · Karsten Kreis
Poster
None
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui · Yogesh Kumar · Pekka Marttinen · Samuel Kaski
Poster
None
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Jun Gao · Tianchang Shen · Zian Wang · Wenzheng Chen · Kangxue Yin · Daiqing Li · Or Litany · Zan Gojcic · Sanja Fidler
Poster
None
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang · Mao Ye · Xiatian Zhu · Liuhan Peng · Liang Tian · Yingying Zhu
Poster
None
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu
Poster
None
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
Shicheng Liu · Minghui Zhu
Poster
None
Focal Modulation Networks
Jianwei Yang · Chunyuan Li · Xiyang Dai · Jianfeng Gao
Poster
None
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
Saikiran Bulusu · Geethu Joseph · M. Cenk Gursoy · Pramod Varshney
Poster
None
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
Jaekyeom Kim · Seohong Park · Gunhee Kim
Poster
None
CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation
Yicong Peng · Yichao Yan · Shengqi Liu · Yuhao Cheng · Shanyan Guan · Bowen Pan · Guangtao Zhai · Xiaokang Yang
Poster
None
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
Dongjun Kim · Byeonghu Na · Se Jung Kwon · Dongsoo Lee · Wanmo Kang · Il-chul Moon
Poster
None
VectorAdam for Rotation Equivariant Geometry Optimization
Selena Zihan Ling · Nicholas Sharp · Alec Jacobson
Poster
None
CHIMLE: Conditional Hierarchical IMLE
Shichong Peng · Seyed Alireza Moazenipourasil · Ke Li
Poster
None
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks
German Aerospace Center · Frank Nussbaum · Julia Niebling
Poster
None
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt · Calvin Tsay · Robert Lee · Nathan Sudermann-Merx · David Walz · Behrang Shafei · Ruth Misener
Poster
None
Operative dimensions in unconstrained connectivity of recurrent neural networks
Renate Krause · Matthew Cook · Sepp Kollmorgen · Valerio Mante · Giacomo Indiveri
Poster
None
Learning to Configure Computer Networks with Neural Algorithmic Reasoning
Luca Beurer-Kellner · Martin Vechev · Laurent Vanbever · Petar Veličković
Poster
None
Uncertain Estimation for Multi-view Data: The Power of Seeing the Whole Picture
Myong Chol Jung · He Zhao · Joanna Dipnall · Belinda Gabbe · Lan Du
Poster
None
A Unifying Framework for Online Optimization with Long-Term Constraints
Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Giulia Romano · Nicola Gatti
Poster
None
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew Childs · Tongyang Li · Jin-Peng Liu · Chunhao Wang · Ruizhe Zhang
Poster
None
Unsupervised Learning under Latent Label Shift
Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton
Poster
None
A Variational Edge Partition Model for Supervised Graph Representation Learning
Yilin He · Chaojie Wang · Hao Zhang · Bo Chen · Mingyuan Zhou
Poster
None
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
Junchi YANG · Xiang Li · Niao He
Poster
None
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek · Gernot Fink · Matthias Rottmann
Poster
None
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
Yaxin Xiao · Qingqing Ye · Haibo Hu · Huadi Zheng · Chengfang Fang · Jie Shi
Poster
None
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta · Ian Char · Joseph Abbate · Rory Conlin · Mark Boyer · Stefano Ermon · Jeff Schneider · Willie Neiswanger
Poster
None
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Srishti Gautam · Ahcene Boubekki · Stine Hansen · Suaiba Salahuddin · Robert Jenssen · Marina Höhne · Michael Kampffmeyer
Poster
None
Optimal Query Complexities for Dynamic Trace Estimation
David Woodruff · Fred Zhang · Richard Zhang
Poster
None
coVariance Neural Networks
Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro
Poster
None
VoiceBox: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models
Patrick O'Reilly · Andreas Bugler · Keshav Bhandari · Max Morrison · Bryan Pardo
Poster
None
Characterizing Datapoints via Second-Split Forgetting
Pratyush Maini · Saurabh Garg · Zachary Lipton · J. Zico Kolter
Poster
None
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
Rayan Mazouz · Karan Muvvala · Akash Ratheesh Babu · Luca Laurenti · Morteza Lahijanian
Poster
None
Association Graph Learning for Multi-Task Classification with Category Shifts
Jiayi Shen · Zehao Xiao · Xiantong Zhen · Cees Snoek · Marcel Worring
Poster
None
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta · Albert Gu · Jonathan Berant
Poster
None
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Arya Akhavan · Evgenii Chzhen · Massimiliano Pontil · Alexandre Tsybakov
Poster
None
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction
Wael Alghamdi · Hsiang Hsu · Haewon Jeong · Hao Wang · Peter Michalak · Shahab Asoodeh · Flavio Calmon
Poster
None
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Kareem Ahmed · Stefano Teso · Kai-Wei Chang · Guy Van den Broeck · Antonio Vergari
Poster
None
Learning Tractable Probabilistic Models from Inconsistent Local Estimates
Shasha Jin · Vasundhara Komaragiri · Tahrima Rahman · Vibhav Gogate
Poster
None
Self-Supervised Pretraining for Large-Scale Point Clouds
Zaiwei Zhang · Min Bai · Li Erran Li
Poster
None
Approximation with CNNs in Sobolev Space: with Applications to Classification
Jian Huang · GUOHAO SHEN · Yuling Jiao · Yuanyuan Lin
Poster
None
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Jose Gallego-Posada · Juan Ramirez · Akram Erraqabi · Yoshua Bengio · Simon Lacoste-Julien
Poster
None
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
Leo Kozachkov · Michaela Ennis · Jean-Jacques Slotine
Poster
None
Training language models to follow instructions with human feedback
Long Ouyang · Jeffrey Wu · Xu Jiang · Diogo Almeida · Carroll Wainwright · Pamela Mishkin · Chong Zhang · Sandhini Agarwal · Katarina Slama · Alex Ray · John Schulman · Jacob Hilton · Fraser Kelton · Luke Miller · Maddie Simens · Amanda Askell · Peter Welinder · Paul Christiano · Jan Leike · Ryan Lowe
Poster
None
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim Alabdulmohsin · Behnam Neyshabur · Xiaohua Zhai
Poster
None
A Reduction to Binary Approach for Debiasing Multiclass Datasets
Ibrahim Alabdulmohsin · Jessica Schrouff · Sanmi Koyejo
Poster
None
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte · Chin-Hsuan Wu · Yueh-Cheng Liu · Yi-Hsuan Tsai · Min Sun
Poster
None
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
Hao Xiong · Yangxiao Lu · Nicholas Ruozzi
Poster
None
A Causal Analysis of Harm
Sander Beckers · Hana Chockler · Joseph Halpern
Poster
None
Single-phase deep learning in cortico-cortical networks
Will Greedy · Heng Wei Zhu · Joseph Pemberton · Jack Mellor · Rui Ponte Costa
Poster
None
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
Yiyun Luo · Will Wei Sun · Yufeng Liu
Poster
None
Video-based Human-Object Interaction Detection from Tubelet Tokens
Danyang Tu · Wei Sun · Xiongkuo Min · Guangtao Zhai · Wei Shen
Poster
None
Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer · Max Hopkins · Chutong Yang · Hantao Yu
Poster
None
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
Haoran Sun · Hanjun Dai · Dale Schuurmans
Poster
None
BYOL-Explore: Exploration by Bootstrapped Prediction
Zhaohan Guo · Shantanu Thakoor · Miruna Pislar · Bernardo Avila Pires · Florent Altché · Corentin Tallec · Alaa Saade · Daniele Calandriello · Jean-Bastien Grill · Yunhao Tang · Michal Valko · Remi Munos · Mohammad Gheshlaghi Azar · Bilal Piot
Poster
None
Generalised Implicit Neural Representations
Daniele Grattarola · Pierre Vandergheynst
Poster
None
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge Aranda · Adel Bibi · Riccardo Volpi · Amartya Sanyal · Philip Torr · Gregory Rogez · Puneet Dokania
Poster
None
Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti · Riccardo De Santi · Piersilvio De Bartolomeis · Marcello Restelli
Poster
None
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Daejin Jo · Sungwoong Kim · Daniel Nam · Taehwan Kwon · Seungeun Rho · Jongmin Kim · Donghoon Lee
Poster
None
Robust Learning against Relational Adversaries
Yizhen Wang · Mohannad Alhanahnah · Xiaozhu Meng · Ke Wang · Mihai Christodorescu · Somesh Jha
Poster
None
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Haotong Yang · Zhouchen Lin · Muhan Zhang
Poster
None
Interventions, Where and How? Bayesian Active Causal Discovery at Scale
Panagiotis Tigas · Yashas Annadani · Andrew Jesson · Bernhard Schölkopf · Yarin Gal · Stefan Bauer
Poster
None
Byzantine-tolerant federated Gaussian process regression for streaming data
Xu Zhang · Zhenyuan Yuan · Minghui Zhu
Poster
None
Conformal Off-Policy Prediction in Contextual Bandits
Muhammad Faaiz Taufiq · Jean-Francois Ton · Rob Cornish · Yee Whye Teh · Arnaud Doucet
Poster
None
Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb · Kent Quanrud · Chandra Chekuri
Poster
None
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma · Salar Fattahi
Poster
None
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Yu Huang · Yingbin Liang · Longbo Huang
Poster
None
4D Unsupervised Object Discovery
Yuqi Wang · Yuntao Chen · ZHAO-XIANG ZHANG
Poster
None
Robust Graph Structure Learning over Images via Multiple Statistical Tests
Yaohua Wang · Fangyi Zhang · Ming Lin · Senzhang Wang · Xiuyu Sun · Rong Jin
Poster
None
Hierarchical classification at multiple operating points
Jack Valmadre
Poster
None
Rank Diminishing in Deep Neural Networks
Ruili Feng · Kecheng Zheng · Yukun Huang · Deli Zhao · Michael Jordan · Zheng-Jun Zha
Poster
None
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
Jian Yang · Kai Zhu · Kecheng Zheng · Yang Cao
Poster
None
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse · Thomas Rood · Yoram Bachrach · Mateusz Malinowski · Tal Kachman
Poster
None
Private and Communication-Efficient Algorithms for Entropy Estimation
Gecia Bravo-Hermsdorff · Róbert Busa-Fekete · Mohammad Ghavamzadeh · Andres Munoz · Umar Syed
Poster
None
Joint Entropy Search for Multi-Objective Bayesian Optimization
Ben Tu · Axel Gandy · Nikolas Kantas · Behrang Shafei
Poster
None
Efficient and Effective Optimal Transport-Based Biclustering
Chakib Fettal · lazhar labiod · Mohamed NADIF
Poster
None
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong · Yibing Song · Jue Wang · Limin Wang
Poster
None
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen · Chongjian GE · Zhan Tong · Jiangliu Wang · Yibing Song · Jue Wang · Ping Luo
Poster
None
Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
Poster
None
Learning Partial Equivariances From Data
David Wilson Romero Guzman · Suhas Lohit
Poster
None
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei · Zhen Wang · Yaliang Li · Bolin Ding · Zhewei Wei
Poster
None
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Andrea Tirinzoni · Matteo Papini · Ahmed Touati · Alessandro Lazaric · Matteo Pirotta
Poster
None
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
Junke Wang · Dongdong Chen · Zuxuan Wu · Chong Luo · Luowei Zhou · Yucheng Zhao · Yujia Xie · Ce Liu · Yu-Gang Jiang · Lu Yuan
Poster
None
K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen · Chunyuan Li · Xiaowei Hu · Yujia Xie · Jianwei Yang · Pengchuan Zhang · Zhe Gan · Lijuan Wang · Lu Yuan · Ce Liu · Kurt Keutzer · Trevor Darrell · Anna Rohrbach · Jianfeng Gao
Poster
None
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack
Tian Yu Liu · Yu Yang · Baharan Mirzasoleiman
Poster
None
Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
Poster
None
Shape, Light & Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren · Nikolai Hofmann · Jacob Munkberg
Poster
None
Oracle-Efficient Online Learning for Smoothed Adversaries
Nika Haghtalab · Yanjun Han · Abhishek Shetty · Kunhe Yang
Poster
None
Conditional Meta-Learning of Linear Representations
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
Poster
None
Wasserstein Logistic Regression with Mixed Features
Aras Selvi · Mohammad Reza Belbasi · Martin Haugh · Wolfram Wiesemann
Poster
None
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi · Eiichi Matsumoto · Vincent Sitzmann
Poster
None
Minimax Optimal Best Arm Identification in Linear Bandits
Junwen Yang · Vincent Tan
Poster
None
Hand-Object Interaction Image Generation
Hezhen Hu · Weilun Wang · Wengang Zhou · Houqiang Li
Poster
None
Whitening Convergence Rate of Affine Coupling Flows
Felix Draxler · Christoph Schnörr · Ullrich Köthe
Poster
None
Federated Submodel Optimization for Hot and Cold Data Features
Yucheng Ding · Chaoyue Niu · Fan Wu · Shaojie Tang · Chengfei Lyu · yanghe feng · Guihai Chen
Poster
None
Reinforcement Learning with Non-Exponential Discounting
Matthias Schultheis · Constantin Rothkopf · Heinz Koeppl
Poster
None
Peripheral Vision Transformer
Juhong Min · Yucheng Zhao · Chong Luo · Minsu Cho
Poster
None
Neural Abstractions
Alessandro Abate · Alec Edwards · Mirco Giacobbe
Poster
None
ConvMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao · Teli Ma · hongsheng Li · Ziyi Lin · Jifeng Dai · Yu Qiao
Poster
None
Revisiting Active Sets for Gaussian Process Decoders
Pablo Moreno-Muñoz · Cilie Feldager · Søren Hauberg
Poster
None
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu · Songyou Peng · Michael Niemeyer · Torsten Sattler · Andreas Geiger
Poster
None
Streaming Radiance Fields for 3D Video Synthesis
Lingzhi LI · Zhen Shen · zhongshu wang · Li Shen · Ping Tan
Poster
None
Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic
Poster
None
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
Zhenting Wang · Hailun Ding · Juan Zhai · Shiqing Ma
Poster
None
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
Joseph Early · Tom Bewley · Christine Evers · SArvapali Ramchurn
Poster
None
Improving Diffusion Models for Inverse Problems using Manifold Constraints
Hyungjin Chung · Byeongsu Sim · Dohoon Ryu · Jong Chul Ye
Poster
None
The computational and learning benefits of Daleian neural networks
Adam Haber · Elad Schneidman
Poster
None
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
Pierre-Cyril Aubin-Frankowski · Anna Korba · Flavien Léger
Poster
None
Efficient learning of nonlinear prediction models with time-series privileged information
Bastian Jung · Fredrik Johansson
Poster
None
So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales
Thorben Frank · Oliver Unke · Klaus-Robert Müller
Poster
None
Grounded Reinforcement Learning: Learning to Win the Game under Human Commands
Shusheng Xu · Huaijie Wang · YI WU
Poster
None
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen · Ciarán Lee · Rishabh Mehrotra · Mounia Lalmas
Poster
None
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning
Kang-Jun Liu · Masanori Suganuma · Takayuki Okatani
Poster
None
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee · JiGang Kim · Inkyu Jang · H. Kim
Poster
None
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
Yafei YANG · Bo Yang
Poster
None
Resolving the data ambiguity for periodic crystals
Daniel Widdowson · Vitaliy Kurlin
Poster
None
Top Two Algorithms Revisited
Marc Jourdan · Rémy Degenne · Dorian Baudry · Rianne Heide · Emilie Kaufmann
Poster
None
Semantic Difference Convolution for Semantic Segmentation
Haoru Tan · Sitong Wu · Jimin Pi
Poster
None
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Antonio Terpin · Nicolas Lanzetti · Batuhan Yardim · Giorgia Ramponi · Florian Dorfler
Poster
None
DENSE: Data-Free One-Shot Federated Learning
Jie Zhang · Chen Chen · Bo Li · Lingjuan Lyu · Shuang Wu · Shouhong Ding · Chunhua Shen · Chao Wu
Poster
None
Convergent Representations of Computer Programs in Human and Artificial Neural Networks
Shashank Srikant · Ben Lipkin · Anna Ivanova · Evelina Fedorenko · Una-May O'Reilly
Poster
None
LieGG: Studying Learned Lie Group Generators
Anna Sepliarskaia · Artem Moskalev · Ivan Sosnovik · Arnold Smeulders
Poster
None
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Dingwen Kong · Lin Yang
Poster
None
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen · Yuchen Liu · Xingjun Ma · Lingjuan Lyu
Poster
None
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
Yang Cai · Argyris Oikonomou · Weiqiang Zheng
Poster
None
Pre-Trained Language Models for Interactive Decision-Making
Shuang Li · Xavier Puig · Chris Paxton · Yilun Du · Clinton Wang · Linxi Fan · Tao Chen · De-An Huang · Ekin Akyürek · Anima Anandkumar · Jacob Andreas · Igor Mordatch · Antonio Torralba · Yuke Zhu
Poster
None
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu · Xiao Wang · Deyu Bo · Chuan Shi · Jian Pei
Poster
None
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training
De-An Huang · Zhiding Yu · Anima Anandkumar
Poster
None
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu · Chaowei Xiao · Weili Nie · De-An Huang · Zhiding Yu · Tom Goldstein · Anima Anandkumar
Poster
None
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Boxin Wang · Wei Ping · Chaowei Xiao · Peng Xu · Mostofa Patwary · Mohammad Shoeybi · Bo Li · Anima Anandkumar · Bryan Catanzaro
Poster
None
Learning Chaotic Dynamics in Dissipative Systems
Zongyi Li · Miguel Liu-Schiaffini · Nikola Kovachki · Kamyar Azizzadenesheli · Burigede Liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar
Poster
None
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
Rihab Gorsane · Oumayma Mahjoub · Ruan de Kock · Roland Dubb · Siddarth Singh · Arnu Pretorius
Poster
None
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato · Andrea Passerini · Stefano Teso
Poster
None
Learning Recourse on Instance Environment to Enhance Prediction Accuracy
Lokesh N · Guntakanti Sai Koushik · Abir De · Sunita Sarawagi
Poster
None
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
Yujia Xie · Luowei Zhou · Xiyang Dai · Lu Yuan · Nguyen Bach · Ce Liu · Michael Zeng
Poster
None
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov · Andrey Filatov · Teresa Yeo · Ajay Sohmshetty · Amir Zamir
Poster
None
Understanding Robust Learning through the Lens of Representation Similarities
Christian Cianfarani · Arjun Nitin Bhagoji · Vikash Sehwag · Ben Zhao · Prateek Mittal · Heather Zheng
Poster
None
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
Daniele Zambon · Cesare Alippi
Poster
None
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Dan Garber · Ron Fisher
Poster
None
Diffusion Visual Counterfactual Explanations
Maximilian Augustin · Valentyn Boreiko · Francesco Croce · Matthias Hein
Poster
None
Forecasting Human Trajectory from Scene History
Mancheng Meng · Ziyan Wu · Terrence Chen · Dinggang Shen · Fan Yang
Poster
None
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning
Haibo Yang · Zhuqing Liu · Xin Zhang · Jia Liu
Poster
None
Symmetry-induced Disentanglement on Graphs
Giangiacomo Mercatali · Andre Freitas · Vikas Garg
Poster
None
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
Poster
None
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva · Mehak Dhaliwal · Carole-Jean Wu · Julian Mcauley
Poster
None
Giving Feedback on Interactive Student Programs with Meta-Exploration
Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn
Poster
None
An Invisible Issue of Task Underspecification in Deep Reinforcement Learning
Vindula Jayawardana · Catherine Tang · Sirui Li · Dajiang Suo · Cathy Wu
Poster
None
On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve
Renxiong Liu · Yunzhang Zhu
Poster
None
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi · Taihei Oki · Shinsaku Sakaue · Kaito Fujii · Satoru Iwata
Poster
None
Data augmentation for efficient learning from parametric experts
Alexandre Galashov · Josh Merel · Nicolas Heess
Poster
None
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer · Tycho Ouderaa · Gunnar Rätsch · Vincent Fortuin · Mark van der Wilk
Poster
None
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
Abdel Ghani Labassi · Didier Chetelat · Andrea Lodi
Poster
None
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou · Kyriakos Lotidis · Panayotis Mertikopoulos · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
None
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets
Gene Li · Cong Ma · Nati Srebro
Poster
None
Why neural networks find simple solutions: The many regularizers of geometric complexity
Benoit Dherin · Michael Munn · Mihaela Rosca · David Barrett
Poster
None
Regret Bounds for Risk-Sensitive Reinforcement Learning
Osbert Bastani · Yecheng Ma · Estelle Shen · Wanqiao Xu
Poster
None
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
Poster
None
Non-stationary Bandits with Knapsacks
Shang Liu · Jiashuo Jiang · Xiaocheng Li
Poster
None
Reproducibility in Optimization: Theoretical Framework and Limits
Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir
Poster
None
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Wenying Deng · Beau Coker · Rajarshi Mukherjee · Jeremiah Zhe Liu · Brent Coull
Poster
None
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
Rylan Schaeffer · Mikail C Khona · Ila Fiete
Poster
None
Transform Once: Efficient Operator Learning in Frequency Domain
Michael Poli · Stefano Massaroli · Federico Berto · Jinkyoo Park · Tri Dao · Christopher Ré · Stefano Ermon
Poster
None
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang · Yi.shi Xu · Miaoge Li · Zhibin Duan · Chaojie Wang · Bo Chen · Mingyuan Zhou
Poster
None
A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision
Jacob Granley · Lucas Relic · Michael Beyeler
Poster
None
Fast Neural Kernel Embeddings for General Activations
Insu Han · Amir Zandieh · Jaehoon Lee · Roman Novak · Lechao Xiao · Amin Karbasi
Poster
None
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu · YueFeng Chen · Chuanlong Xie · Xiaodan Li · Rong Zhang · Hui Xue' · Xiang Tian · bolun zheng · Yaowu Chen
Poster
None
Exploiting Semantic Relations for Glass Surface Detection
Yuen-Hei Yeung · Jiaying Lin · Rynson Lau
Poster
None
Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song · Cheuk Yin Lin · Stephen Wright · Jelena Diakonikolas
Poster
None
Stochastic Multiple Target Sampling Gradient Descent
Hoang Phan · Ngoc Tran · Trung Le · Toan Tran · Nhat Ho · Dinh Phung
Poster
None
Learning to Generate Inversion-Resistant Model Explanations
Hoyong Jeong · Suyoung Lee · Sung Ju Hwang · Sooel Son
Poster
None
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Poster
None
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian · Kelu Jiang · Kun Kuang · Furui Liu · Zhihua Wang · Fei Wu
Poster
None
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin · Chiyuan Zhang · Ting Chen · Balaji Lakshminarayanan · Alex Beutel · Xuezhi Wang
Poster
None
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai
Poster
None
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
Bar Mahpud · Or Sheffet
Poster
None
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Yujia Zheng · Ignavier Ng · Kun Zhang
Poster
None
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory
Taesik Gong · Jongheon Jeong · Taewon Kim · Yewon Kim · Jinwoo Shin · Sung-Ju Lee
Poster
None
Human-AI Shared Control via Frequency-based Policy Dissection
Quanyi Li · Zhenghao Peng · Haibin Wu · Lan Feng · Bolei Zhou
Poster
None
Exploiting Reward Shifting in Value-Based Deep RL
Hao Sun · Lei Han · Rui Yang · Xiaoteng Ma · Jian Guo · Bolei Zhou
Poster
None
Improving GANs with A Dynamic Discriminator
Ceyuan Yang · Yujun Shen · Yinghao Xu · Deli Zhao · Bo Dai · Bolei Zhou
Poster
None
Sublinear Algorithms for Hierarchical Clustering
Arpit Agarwal · Sanjeev Khanna · Huan Li · Prathamesh Patil
Poster
None
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim · Jisu Oh · Jacob Gardner · Adji Bousso Dieng · Hongseok Kim
Poster
None
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
Daniel Lee · Georgy Noarov · Mallesh Pai · Aaron Roth
Poster
None
Rule-Based but Flexible? Evaluating and Improving Language Models as Accounts of Human Moral Judgment
Zhijing Jin · Sydney Levine · Fernando Gonzalez Adauto · Ojasv Kamal · Maarten Sap · Mrinmaya Sachan · Rada Mihalcea · Josh Tenenbaum · Bernhard Schölkopf
Poster
None
Task-level Differentially Private Meta Learning
Xinyu Zhou · Raef Bassily
Poster
None
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
Yejia Liu · Wang Zhu · Shaolei Ren
Poster
None
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier · Matthias Poloczek · Luigi Nardi
Poster
None
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Runyu Zhang · Qinghua Liu · Huan Wang · Caiming Xiong · Na Li · Yu Bai
Poster
None
Time Dimension Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
Yuzhou Chen · Yulia Gel · H. Vincent Poor
Poster
None
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua · Guillaume Rabusseau · Jian Tang
Poster
None
Evolving Zero Cost Proxies For Neural Architecture Scoring
Yash Akhauri · Juan Munoz · Nilesh Jain · Ravishankar Iyer
Poster
None
SQ Lower Bounds for Learning Single Neurons with Massart Noise
Ilias Diakonikolas · Daniel Kane · Lisheng Ren · Yuxin Sun
Poster
None
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris · Thomas D Barrett · Arnu Pretorius
Poster
None
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li · Jikai Jin · Han Zhong · John Hopcroft · Liwei Wang
Poster
None
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
Changlong Wu · Mohsen Heidari · Ananth Grama · Wojciech Szpankowski
Poster
None
Empirical Gateaux Derivatives for Causal Inference
Michael Jordan · Yixin Wang · Angela Zhou
Poster
None
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Shayegan Omidshafiei · Andrei Kapishnikov · Yannick Assogba · Lucas Dixon · Been Kim
Poster
None
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
Shiyun Lin · Yuze Han · Xiang Li · Zhihua Zhang
Poster
None
Learning White Noises in Neural Stochastic Differential Equations
Anh Tong · Thanh Nguyen-Tang · Toan Tran · Jaesik Choi
Poster
None
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang
Poster
None
PALBERT: Teaching ALBERT to Ponder
Nikita Balagansky · Daniil Gavrilov
Poster
None
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
Evangelos Chatziafratis · Ioannis Panageas · Clayton Sanford · Stelios Stavroulakis
Poster
None
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung · Jaemin Cho · Mohit Bansal
Poster
None
Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya · Cameron Musco
Poster
None
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish Jayant · Shalabh Bhatnagar
Poster
None
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye · Adrian G. Bors
Poster
None
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games
Ziang Song · Song Mei · Yu Bai
Poster
None
Towards Practical Computation of Singular Values of Convolutional Layers
Alexandra Senderovich · Ekaterina Bulatova · Anton Obukhov · Maxim Rakhuba
Poster
None
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes · Will Ma · Omar Mouchtaki
Poster
None
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Zhiying Jiang · Yiqin Dai · Ji Xin · Ming Li · Jimmy Lin
Poster
None
Generalization Bounds for Equivariant Networks
Arash Behboodi · Gabriele Cesa · Taco Cohen
Poster
None
Generative multitask learning mitigates target-causing confounding
Taro Makino · Krzysztof Geras · Kyunghyun Cho
Poster
None
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Shayan Shekarforoush · David Lindell · Marcus Brubaker · David Fleet
Poster
None
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li · Minjia Zhang · Yuxiong He
Poster
None
Mixture-of-Experts with Expert Choice Routing
Yanqi Zhou · Tao Lei · Hanxiao Liu · Nan Du · Yanping Huang · Vincent Zhao · Andrew Dai · zhifeng Chen · Quoc V Le · James Laudon
Poster
None
Decoupled Self-supervised Learning for Non-Homophilous Graphs
Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang
Poster
None
Performative Power
Moritz Hardt · Meena Jagadeesan · Celestine Mendler-Dünner
Poster
None
Semi-Parametric Neural Image Synthesis
Andreas Blattmann · Robin Rombach · Kaan Oktay · Jonas Müller · Björn Ommer
Poster
None
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution
Khai Nguyen · Nhat Ho
Poster
None
Amortized Projection Optimization for Sliced Wasserstein Generative Models
Khai Nguyen · Nhat Ho
Poster
None
Weighted Distillation with Unlabeled Examples
Fotis Iliopoulos · Cenk Baykal · Vasilis Kontonis · Gaurav Menghani · Khoa Trinh · Erik Vee
Poster
None
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
Boyang Deng · Sumith Kulal · Zhengyang Dong · Congyue Deng · Yonglong Tian · Jiajun Wu
Poster
None
Instability and Local Minima in GAN Training with Kernel Discriminators
Evan Becker · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
Poster
None
On Non-Linear operators for Geometric Deep Learning
Grégoire Sergeant-Perthui · Jakob Maier · Joan Bruna · Edouard Oyallon
Poster
None
Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong · Nicholas Carlini · Alexey Kurakin
Poster
None
A Mixture Of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao · Matthieu Lin · Yangguang Li · Yong-jin Liu · Gao Huang
Poster
None
Provable General Function Class Representation Learning in Multitask Bandits and MDP
Rui Lu · Andrew Zhao · Simon Du · Gao Huang
Poster
None
Few-Shot Continual Active Learning by a Robot
Ali Ayub · Carter Fendley
Poster
None
Algorithms with Prediction Portfolios
Michael Dinitz · Sungjin Im · Thomas Lavastida · Benjamin Moseley · Sergei Vassilvitskii
Poster
None
Off-Policy Evaluation with Deficient Support Using Side Information
Nicolo' Felicioni · Maurizio Ferrari Dacrema · Marcello Restelli · Paolo Cremonesi
Poster
None
Alignment as a Multi-agent Intrinsic Reward
Zixian Ma · Rose Wang · Michael Bernstein · Fei-Fei Li · Ranjay Krishna
Poster
None
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
Poster
None
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search
Shinsaku Sakaue · Taihei Oki
Poster
None
Using Partial Monotonicity in Submodular Maximization
Loay Mualem · Moran Feldman
Poster
None
Weakly supervised causal representation learning
Johann Brehmer · Pim de Haan · Phillip Lippe · Taco Cohen
Poster
None
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
Poster
None
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
Lingfeng Sun · Haichao Zhang · Wei Xu · Masayoshi TOMIZUKA
Poster
None
Co-Modality Imbalanced Graph Contrastive Learning
Yiyue Qian · Chunhui Zhang · Yiming Zhang · Qianlong Wen · Yanfang Ye · Chuxu Zhang
Poster
None
DNA: Proximal Policy Optimization with a Dual Network Architecture
Matthew Aitchison · Penny Sweetser
Poster
None
Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li · Ruilin Ye · Xuanqiang Zhao · Xin Wang
Poster
None
Local Bayesian optimization via maximizing probability of descent
Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett
Poster
None
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
Peng Jiang · lihan hu · Shihui Song
Poster
None
AD-DROP: Attribution Driven Dropout for Robust Language Model Finetuning
Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie
Poster
None
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan · Pengjie Wang · Kai Zhang · Feng Li · Hongbo Deng · Jian Xu · Bo Zheng
Poster
None
Neural Topological Ordering for Computation Graphs
Mukul Gagrani · Corrado Rainone · Yang Yang · Harris Teague · Wonseok Jeon · Roberto Bondesan · Herke van Hoof · Christopher Lott · Weiliang Zeng · Piero Zappi
Poster
None
Task-Agnostic Graph Explanations
Yaochen Xie · Sumeet Katariya · Xianfeng Tang · Edward Huang · Nikhil Rao · Karthik Subbian · Shuiwang Ji
Poster
None
Learning in Congestion Games with Bandit Feedback
Qiwen Cui · Zhihan Xiong · Maryam Fazel · Simon Du
Poster
None
Beyond Mahalanobis Distance for Textual OOD Detection
Pierre Colombo · Eduardo Dadalto · Guillaume Staerman · Nathan Noiry · Pablo Piantanida
Poster
None
EfficientViT: Vision Transformers at MobileNet Speed
Yanyu Li · Geng Yuan · Yang Wen · Ju Hu · Georgios Evangelidis · Sergey Tulyakov · Yanzhi Wang · Jian Ren
Poster
None
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
Poster
None
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model
Gen Li · Yuejie Chi · Yuxin Chen · Yuting Wei
Poster
None
A Unified Framework for Alternating Offline Model Training and Policy Learning
Shentao Yang · Yihao Feng · Shujian Zhang · Mingyuan Zhou
Poster
None
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han · Zhihang Yuan · Yifan Pu · Chenhao Xue · Shiji Song · Guangyu Sun · Gao Huang
Poster
None
Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
Poster
None
Robust Reinforcement Learning using Offline Data
Kishan Panaganti · Zaiyan Xu · Dileep Kalathil · Mohammad Ghavamzadeh
Poster
None
Noise Attention Learning
Yangdi Lu · Yang Bo · Wenbo He
Poster
None
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
Weixuan Liang · Xinwang Liu · Yong Liu · sihang zhou · Jun-Jie Huang · Siwei Wang · Jiyuan Liu · Yi Zhang · En Zhu
Poster
None
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
Han Shen · Tianyi Chen
Poster
None
GAR: Generalized Autoregression for Multi-Fidelity Fusion
Yuxin Wang · Zheng Xing · WEI XING
Poster
None
Point Transformer V2: Grouped Vector Attention and Improved Sampling
Xiaoyang Wu · Yixing Lao · Li Jiang · Xihui Liu · Hengshuang Zhao
Poster
None
Heterogeneous Skill Learning for Multi-agent Tasks
Yuntao Liu · Yuan Li · Xinhai Xu · Yong Dou · Donghong Liu
Poster
None
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Yanpeng Sun · Qiang Chen · Xiangyu He · Zechao Li · Jian Wang · Haocheng Feng · Junyu Han · Errui Ding · Jian Cheng · Jingdong Wang
Poster
None
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
Eldar Abraham · Karel D'Oosterlinck · Amir Feder · Yair Gat · Atticus Geiger · Christopher Potts · Roi Reichart · Zhengxuan Wu
Poster
None
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
GE ZHANG · Zhenyu Yang · Jia Wu · Jian Yang · Shan Xue · Hao Peng · Jianlin Su · Chuan Zhou · Quan Sheng · Leman Akoglu · Charu Aggarwal
Poster
None
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression
Yecheng Ma · Jason Yan · Dinesh Jayaraman · Osbert Bastani
Poster
None
MOVE: Unsupervised Movable Object Segmentation and Detection
Adam Bielski · Paolo Favaro
Poster
None
Semantic Field of Words Represented as Non-Linear Potential Functions
Xin Du · Kumiko Tanaka-Ishii
Poster
None
Hierarchical Normalization for Robust Monocular Depth Estimation
Chi Zhang · Wei Yin · Billzb Wang · Gang Yu · Chunhua Shen · BIN FU
Poster
None
Score-based generative modeling secretly minimizes the Wasserstein distance
Dohyun Kwon · Ying Fan · Kangwook Lee
Poster
None
Efficient Methods for Non-stationary Online Learning
Peng Zhao · Yan-Feng Xie · Lijun Zhang · Zhi-Hua Zhou
Poster
None
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Zhize Li · Haoyu Zhao · Boyue Li · Yuejie Chi
Poster
None
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao
Poster
None
Adapting to Online Label Shift with Provable Guarantees
Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou
Poster
None
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization
Zijie Zhang · Xin Zhao · Tianshi Che · Yang Zhou · Lingjuan Lyu
Poster
None
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
Chuanhao Li · Huazheng Wang · Mengdi Wang · Hongning Wang
Poster
None
Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li · Hongning Wang
Poster
None
Triangulation candidates for Bayesian optimization
Robert Gramacy · Annie Sauer · Nathan Wycoff
Poster
None
TVLT: Textless Vision-Language Transformer
Zineng Tang · Jaemin Cho · Yixin Nie · Mohit Bansal
Poster
None
On the Frequency-bias of Coordinate-MLPs
Sameera Ramasinghe · Lachlan MacDonald · Simon Lucey
Poster
None
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Gergely Neu · Julia Olkhovskaya · Matteo Papini · Ludovic Schwartz
Poster
None
Differentially Private Covariance Revisited
Wei Dong · Yuting Liang · Ke Yi
Poster
None
Multiagent Q-learning with Sub-Team Coordination
Wenhan Huang · Kai Li · Kun Shao · Tianze Zhou · Matthew Taylor · Jun Luo · Dongge Wang · Hangyu Mao · Jianye Hao · Jun Wang · Xiaotie Deng
Poster
None
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Liting Lin · Heng Fan · Zhipeng Zhang · Yong Xu · Haibin Ling
Poster
None
Divert More Attention to Vision-Language Tracking
Mingzhe Guo · Zhipeng Zhang · Heng Fan · Liping Jing
Poster
None
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
QIN DING · Yue Kang · Yi-Wei Liu · Thomas Chun Man Lee · Cho-Jui Hsieh · James Sharpnack
Poster
None
Momentum Aggregation for Private Non-convex ERM
Hoang Tran · Ashok Cutkosky
Poster
None
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Ming Ding · Wendi Zheng · Wenyi Hong · Jie Tang
Poster
None
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
Yue Kang · Cho-Jui Hsieh · Thomas Chun Man Lee
Poster
None
Geometry-aware Two-scale PIFu Representation for Human Reconstruction
zheng dong · Ke Xu · Ziheng Duan · Hujun Bao · Weiwei Xu · Rynson Lau
Poster
None
Unsupervised Cross-Domain Imitation Learning
Tim Franzmeyer · Philip Torr · João Henriques
Poster
None
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes
Joachim Rubinstein · Benjamin Rubinstein
Poster
None
Estimating graphical models for count data with applications to single-cell gene network
Feiyi Xiao · Junjie Tang · Huaying Fang · Ruixin Xi
Poster
None
Non-deep Networks
Ankit Goyal · Alexey Bochkovskiy · Jia Deng · Vladlen Koltun
Poster
None
Dynamic pricing and assortment under a contextual MNL demand
Noemie Perivier · Vineet Goyal
Poster
None
Counterfactual Neural Temporal Point Process for Misinformation Impact Estimation on Social Media
Yizhou Zhang · Defu Cao · Yan Liu
Poster
None
Neural Attentive Circuits
Martin Weiss · Nasim Rahaman · Francesco Locatello · Chris Pal · Yoshua Bengio · Bernhard Schölkopf · Li Erran Li · Nicolas Ballas
Poster
None
Understanding Self-Supervised Graph Representation Learning from a Data-Centric Perspective
Puja Trivedi · Ekdeep S Lubana · Mark Heimann · Danai Koutra · Jayaraman Thiagarajan
Poster
None
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Axel Levy · Gordon Wetzstein · Julien N.P Martel · FREDERIC POITEVIN · Ellen Zhong
Poster
None
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
Desik Rengarajan · Sapana Chaudhary · Jaewon Kim · Dileep Kalathil · Srinivas Shakkottai
Poster
None
Locating and Editing Factual Associations in GPT
Kevin Meng · David Bau · Alex Andonian · Yonatan Belinkov
Poster
None
Causal Disentanglement for Time Series
Weiran Yao · Guangyi Chen · Kun Zhang
Poster
None
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng · Biwei Huang · Kun Zhang · Sara Magliacane
Poster
None
Unsupervised Image-to-Image Translation with Density Changing Regularization
Shaoan Xie · Qirong Ho · Kun Zhang
Poster
None
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
Yuqin Yang · AmirEmad Ghassami · Mohamed Nafea · Negar Kiyavash · Kun Zhang · Ilya Shpitser
Poster
None
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo · Susan Wei · Tongliang Liu · Bo Han · Kun Zhang · Mingming Gong
Poster
None
Latent Hierarchical Causal Structure Discovery with Rank Constraints
Biwei Huang · Charles Jia Han Low · Feng Xie · Clark Glymour · Kun Zhang
Poster
None
Truncated Matrix Power Iteration for Differentiable DAG Learning
Zhen Zhang · Ignavier Ng · Dong Gong · Yuhang Liu · Ehsan Abbasnejad · Mingming Gong · Kun Zhang · Javen Qinfeng Shi
Poster
None
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder · Guy Horowitz · Yoav Wald · Roi Reichart · Nir Rosenfeld
Poster
None
Cross-dataset Training Transformers for Robust Action Recognition
Junwei Liang · Enwei Zhang · Jun Zhang · Chunhua Shen
Poster
None
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
Chengzhi Lin · Ancong Wu · Junwei Liang · Jun Zhang · Wenhang Ge · Wei-Shi Zheng · Chunhua Shen
Poster
None
Neural Reflectance Field from Shading and Shadow under a Fixed Viewpoint
Wenqi Yang · Guanying Chen · Chaofeng Chen · Zhenfang Chen · Kwan-Yee K. Wong
Poster
None
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek · Mikhail Galkin · Vijay Prakash Dwivedi · Anh Tuan Luu · Guy Wolf · Dominique Beaini
Poster
None
Trading Off Resource Budgets For Improved Regret Bounds
Thomas Orton · Damon Falck
Poster
None
$\textit{Public Wisdom Matters!}$ Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification
Karish Grover · S M Phaneendra Angara · Md Shad Akhtar · Tanmoy Chakraborty
Poster
None
Sequence-to-Set Generative Models
Longtao Tang · Ying Zhou · Yu Yang
Poster
None
Accelerating Sparse Convolution for Efficient Neural Network Inference
Yijun Tan · Kai Han · Kang Zhao · Xianzhi Yu · Zidong Du · Yunhe Wang · Jun Yao · Yunji Chen
Poster
None
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
Botao Yu · Peiling Lu · Rui Wang · Wei Hu · Xu Tan · Wei Ye · Shikun Zhang · Tao Qin · Tie-Yan Liu
Poster
None
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue · Xiaoming Shi · James Zhang · Hongyuan Mei
Poster
None
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
Poster
None
Learning Invariant Graph Representations Under Distribution Shifts
Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
Poster
None
FR: Folded Rationalization with a Unified Encoder
Wei Liu · Haozhao Wang · Jun Wang · Ruixuan Li · Chao Yue · YuanKai Zhang
Poster
None
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari · Aliasghar Khani · Fereshte Khani · Ali Gholami · Linh Tran · Ali Mahdavi-Amiri · Ghassan Hamarneh
Poster
None
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao · Zhengling Qi · Xiaoke Zhang
Poster
None
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
Ning Xu · Congyu Qiao · Jiaqi Lv · Xin Geng · Min-Ling Zhang
Poster
None
Bayesian inference via sparse Hamiltonian flows
Naitong Chen · Zuheng Xu · Trevor Campbell
Poster
None
Generative Status Estimation and Information Decoupling for Image Rain Removal
Di Lin · Xin WANG · Jia Shen · Renjie Zhang · Ruonan Liu · Miaohui Wang · Wuyuan Xie · Qing Guo · Ping Li
Poster
None
BMU-MoCo: Bidirectional Momentum Update For Continual Video-Language Modeling
Yizhao Gao · Nanyi Fei · Haoyu Lu · Zhiwu Lu · Hao Jiang · Yijie Li · Zhao Cao
Poster
None
Parallel Tempering With a Variational Reference
Nikola Surjanovic · Saifuddin Syed · Alexandre Bouchard-Côté · Trevor Campbell
Poster
None
Fair Rank Aggregation
Diptarka Chakraborty · Syamantak Das · Arindam Khan · Aditya Subramanian
Poster
None
Unsupervised Learning of Group Invariant and Equivariant Representations
Robin Winter · Marco Bertolini · Tuan Le · Frank Noe · Djork-Arné Clevert
Poster
None
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
Poster
None
Environment Diversification with Multi-head Neural Network for Invariant Learning
Bo-Wei Huang · Keng-Te Liao · Chang-Sheng Kao · Shou-De Lin
Poster
None
Understanding the Failure of Batch Normalization for Transformers in NLP
Jiaxi Wang · Ji Wu · Lei Huang
Poster
None
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Guocheng Qian · Yuchen Li · Houwen Peng · Jinjie Mai · Hasan Hammoud · Mohamed Elhoseiny · Bernard Ghanem
Poster
None
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
LI YIMING · Yang Bai · Yong Jiang · Yong Yang · Shu-Tao Xia · Bo Li
Poster
None
When to intervene: learning optimal intervention policies for critical events
Niranjan Damera Venkata · Chiranjib Bhattacharyya
Poster
None
Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai · Lu Hou · Lifeng Shang · Xin Jiang · Irwin King · Michael R Lyu
Poster
None
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification
Xiyue Wang · Jinxi Xiang · Jun Zhang · Sen Yang · Zhongyi Yang · Ming-Hui Wang · Jing Zhang · Wei Yang · Junzhou Huang · Xiao Han
Poster
None
Robust Neural Posterior Estimation and Statistical Model Criticism
Daniel Ward · Patrick Cannon · Mark Beaumont · Matteo Fasiolo · Sebastian Schmon
Poster
None
Joint Entropy Search For Maximally-Informed Bayesian Optimization
Carl Hvarfner · Frank Hutter · Luigi Nardi
Poster
None
Masked Generative Adversarial Networks are Robust Generation Learners
Jiaxing Huang · Kaiwen Cui · Dayan Guan · Aoran Xiao · Fangneng Zhan · Shijian Lu · Shengcai Liao · Eric Xing
Poster
None
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
Aoran Xiao · Jiaxing Huang · Dayan Guan · Kaiwen Cui · Shijian Lu · Ling Shao
Poster
None
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
Fei He · Naiyu Gao · Jian Jia · Haoyang Zhang · Yanhu Shan · Xin Zhao · Kaiqi Huang
Poster
None
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Peng Jin · Fa Jin Huang · Fenglin Liu · Xian Wu · Shen Ge · Guoli Song · David Clifton · Jie Chen
Poster
None
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Ivan Marisca · Andrea Cini · Cesare Alippi
Poster
None
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Jian Wang · Chenhui Gou · Qiman Wu · Haocheng Feng · Junyu Han · Errui Ding · Jingdong Wang
Poster
None
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
Yucheng Shi · Yahong Han · Yu-an Tan · Xiaohui Kuang
Poster
None
Deep Model Reassembly
Xingyi Yang · Daquan Zhou · Songhua Liu · Jingwen Ye · Xinchao Wang
Poster
None
Dataset Factorization for Condensation
Songhua Liu · Kai Wang · Xingyi Yang · Jingwen Ye · Xinchao Wang
Poster
None
Revisiting Injective Attacks on Recommender Systems
Haoyang LI · Shimin DI · Lei Chen
Poster
None
Distributional Convergence of the Sliced Wasserstein Process
Jiaqi Xi · Jonathan Niles-Weed
Poster
None
Efficient Dataset Distillation using Random Feature Approximation
Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus
Poster
None
Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn · Chiyoon Kim · Youngjoon Hong · Hyunwoo Kim
Poster
None
Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge
Poster
None
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity
Bingqing Song · Ioannis Tsaknakis · Chung-Yiu Yau · Hoi-To Wai · Mingyi Hong
Poster
None
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
Maxim Kodryan · Ekaterina Lobacheva · Maksim Nakhodnov · Dmitry Vetrov
Poster
None
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
Arpit Agarwal · Rohan Ghuge · viswanath nagarajan
Poster
None
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
Abhra Chaudhuri · Anjan Dutta · Massimiliano Mancini · Zeynep Akata
Poster
None
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport
Zongsheng Cao · Qianqian Xu · Zhiyong Yang · Yuan He · Xiaochun Cao · Qingming Huang
Poster
None
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja · Anna Kuzina · Tomasz Trzcinski · Jakub Tomczak
Poster
None
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Yu-Hsuan Li · Tzu-Yin Chao · Ching-Chun Huang · Pin-Yu Chen · Wei-Chen Chiu
Poster
None
Markovian Interference in Experiments
Vivek Farias · Andrew Li · Tianyi Peng · Andrew Zheng
Poster
None
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang · Miaomiao Zhang
Poster
None
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang · Hong Wang · Haobo Yuan · Zhouchen Lin
Poster
None
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil · Raphael Gontijo Lopes · Rebecca Roelofs
Poster
None
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Geon-Hyeong Kim · Jongmin Lee · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
None
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil · Brian Bartoldson · James Diffenderfer · Bhavya Kailkhura · Timo Bremer
Poster
None
Data-Driven Model-Based Optimization via Invariant Representation Learning
Han Qi · Yi Su · Aviral Kumar · Sergey Levine
Poster
None
Weakly Supervised Representation Learning with Sparse Perturbations
Kartik Ahuja · Jason Hartford · Yoshua Bengio
Poster
None
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
SIQI LIANG · Yan Sun · Faming Liang
Poster
None
Riemannian Diffusion Models
Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville
Poster
None
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body
Alberto Chiappa · Alessandro Marin Vargas · Alexander Mathis
Poster
None
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu · Zhiqing Sun · Yiming Yang
Poster
None
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Rishi Bommasani · Kathleen Creel · Ananya Kumar · Dan Jurafsky · Percy Liang
Poster
None
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao · Lei Feng · Hongxin Wei · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
Poster
None
Active Learning Through a Covering Lens
Ofer Yehuda · Avihu Dekel · Guy Hacohen · Daphna Weinshall
Poster
None
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto · Harry Yang · Ser Nam Lim · Philip Torr · Puneet Dokania
Poster
None
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Sahand Rezaei-Shoshtari · Rosie Zhao · Prakash Panangaden · David Meger · Doina Precup
Poster
None
Grounded Video Situation Recognition
Zeeshan Khan · C.V. Jawahar · Makarand Tapaswi
Poster
None
Neural network architecture beyond width and depth
Shijun Zhang · Zuowei Shen · Haizhao Yang
Poster
None
Random Sharpness-Aware Minimization
Yong Liu · Siqi Mai · Minhao Cheng · Xiangning Chen · Cho-Jui Hsieh · Yang You
Poster
None
One for All: Simultaneous Metric and Preference Learning over Multiple Users
Gregory Canal · Blake Mason · Ramya Vinayak · Robert Nowak
Poster
None
Where2comm: Efficient Collaborative Perception via Spatial Confidence Maps
Yue Hu · Shaoheng Fang · Zixing Lei · Yiqi Zhong · Siheng Chen
Poster
None
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
Jörg Franke · Frederic Runge · Frank Hutter
Poster
None
WaveBound: Dynamically Bounding Error for Stable Time Series Forecasting
Youngin Cho · Daejin Kim · Dongmin Kim · Mohammad Khan · Jaegul Choo
Poster
None
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · Mohammad Khan · Jaegul Choo
Poster
None
Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
Poster
None
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Joshua Mitton · Simon Mekhail · Miles Padgett · Daniele Faccio · Marco Aversa · Roderick Murray-Smith
Poster
None
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Cassel · Alon Cohen · Tomer Koren
Poster
None
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
Idan Attias · Steve Hanneke · Yishay Mansour
Poster
None
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
Qihua ZHOU · Song Guo · YI LIU · Jie Zhang · Jiewei Zhang · Tao GUO · Zhenda XU · Zhihao Qu
Poster
None
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You · Lei Cui · Yujun Shen · Kai Yang · Xin Lu · Yu Zheng · Xinyi Le
Poster
None
Learning Active Camera for Multi-Object Navigation
Peihao Chen · Dongyu Ji · Kunyang Lin · Weiwen Hu · Wenbing Huang · Thomas Li · Mingkui Tan · Chuang Gan
Poster
None
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang · Xiaotian Cheng · Chang Liu · Hakan Bilen · Xiangyang Ji
Poster
None
Self-explaining deep models with logic rule reasoning
Seungeon Lee · Xiting Wang · Sungwon Han · Eunji Lee · Xiaoyuan Yi · Xing Xie · Meeyoung Cha
Poster
None
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
Haris Aziz · Alexander Lam · Mashbat Suzuki · Toby Walsh
Poster
None
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
HuiYang Shao · Qianqian Xu · Zhiyong Yang · Shilong Bao · Qingming Huang
Poster
None
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen · Harinath Garudadri · Bhaskar D Rao
Poster
None
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Markus Hiller · Mehrtash Harandi · Tom Drummond
Poster
None
A Variant of Anderson Mixing with Minimal Memory Size
Fuchao Wei · Chenglong Bao · Yang Liu · Guangwen Yang
Poster
None
Predictive Coding beyond Gaussian Distributions
Luca Pinchetti · Tommaso Salvatori · Yordan Yordanov · Beren Millidge · Yuhang Song · Thomas Lukasiewicz
Poster
None
Scalable Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking
Arpit Bansal · Avi Schwarzschild · Eitan Borgnia · Zeyad Emam · Furong Huang · Micah Goldblum · Tom Goldstein
Poster
None
Better Best of Both Worlds Bounds for Bandits with Switching Costs
Idan Amir · Guy Azov · Tomer Koren · Roi Livni
Poster
None
CoNMoR: Contrastive Neuron Morphology Representation Learning
Hanbo Chen · Jiawei Yang · Daniel Iascone · Lijuan Liu · Lei He · Hanchuan Peng · Jianhua Yao
Poster
None
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
Idan Amir · Roi Livni · Nati Srebro
Poster
None
Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh
Poster
None
ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences
Ting-An Chen · Ming-syan Chen
Poster
None
Tsetlin Machine for Solving Contextual Bandit Problems
Raihan Seraj · Jivitesh Sharma · Ole-Christoffer Granmo
Poster
None
3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang · Matthias Niessner · Peter Wonka
Poster
None
Rethinking training of 3D GANs
Ivan Skorokhodov · Sergey Tulyakov · Yiqun Wang · Peter Wonka
Poster
None
Improved surface reconstruction using high-frequency details
Yiqun Wang · Ivan Skorokhodov · Peter Wonka
Poster
None
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer · Idan Schwartz · Lior Wolf
Poster
None
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
Tal Shaharabany · Yoad Tewel · Lior Wolf
Poster
None
Optimal Positive Generation via Latent Transformation for Contrastive Learning
Yinqi Li · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen
Poster
None
Measuring Model Inversion Defences in Edge–Cloud Collaborative Inference Systems
Mengda Yang · Juan Wang · Hongxin Hu · Ao Ren · Ziang Li · Xiaoyang Xu · Wenzhe Yi
Poster
None
Convergence for score-based generative modeling with polynomial complexity
Holden Lee · Jianfeng Lu · Yixin Tan
Poster
None
TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies
Junting Dong · Qi Fang · Yudong Guo · Sida Peng · Qing Shuai · Hujun Bao · Xiaowei Zhou
Poster
None
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen · Jakub Kuba · Runji Lin · Weinan Zhang · Ying Wen · Jun Wang · Yaodong Yang
Poster
None
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Mark Rowland · Michal Valko · Pierre Ménard
Poster
None
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth
Laxman Dhulipala · David Eisenstat · Jakub Lacki · Vahab Mirrokni · Jessica Shi
Poster
None
Fair and Efficient Allocations Without Obvious Manipulations
Alexandros Psomas · Paritosh Verma
Poster
None
Hardness in Markov Decision Processes: Theory and Practice
Michelangelo Conserva · Paulo Rauber
Poster
None
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Viraj Prabhu · Sriram Yenamandra · Aaditya Singh · Judy Hoffman
Poster
None
Recovering Private Text in Federated Learning of Language Models
Samyak Gupta · Yangsibo Huang · Zexuan Zhong · Tianyu Gao · Kai Li · Danqi Chen
Poster
None
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho Ouderaa · David Wilson Romero Guzman · Mark van der Wilk
Poster
None
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
Miao Zhang · Wei Huang · Bin Yang
Poster
None
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
Poster
None
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang · Wei Huang · Ziwei Wu · Hanghang Tong · Andrew J Margenot · Jingrui He
Poster
None
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Wuyang Chen · Wei Huang · Xinyu Gong · Boris Hanin · Zhangyang Wang
Poster
None
Weighted Mutual Learning with Diversity-Driven Model Compression
Miao Zhang · Li Wang · David Campos · Wei Huang · Chenjuan Guo · Bin Yang
Poster
None
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard
Poster
None
A fully adaptive trust-region method
Fadi Hamad · Oliver Hinder
Poster
None
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Yongqiang Chen · Yonggang Zhang · Yatao Bian · Han Yang · MA Kaili · Binghui Xie · Tongliang Liu · Bo Han · James Cheng
Poster
None
Large-Scale Retrieval for Reinforcement Learning
Peter Humphreys · Arthur Guez · Olivier Tieleman · Laurent Sifre · Theophane Weber · Timothy Lillicrap
Poster
None
Exact Shape Correspondence via 2D graph convolution
Barakeel Fanseu Kamhoua · Lin Zhang · Yongqiang Chen · Han Yang · MA Kaili · Bo Han · Bo Li · James Cheng
Poster
None
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Wanhua Li · Xiaoke Huang · Zheng Zhu · Yansong Tang · Xiu Li · Jiwen Lu · Jie Zhou
Poster
None
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs
Poster
None
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier · Asier Mujika
Poster
None
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen
Poster
None
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li
Poster
None
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
Zihan Liu · Yun Luo · Lirong Wu · Zicheng Liu · Stan Z. Li
Poster
None
Learning in Distributed Contextual Linear Bandits Without Sharing the Context
Osama Hanna · Lin Yang · Christina Fragouli
Poster
None
Conformalized Fairness via Quantile Regression
Meichen Liu · Lei Ding · Dengdeng Yu · Wulong Liu · Linglong Kong · Bei Jiang