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Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Representation/Relational
Learning Physical Graph Representations from Visual Scenes
In Orals & Spotlights Track 01: Representation/Relational
Daniel Bear · Chaofei Fan · Damian Mrowca · Yunzhu Li · Seth Alter · Aran Nayebi · Jeremy Schwartz · Li Fei-Fei · Jiajun Wu · Josh Tenenbaum · Daniel Yamins
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Language Models are Few-Shot Learners
In Orals & Spotlights Track 03: Language/Audio Applications
Tom B Brown · Benjamin Mann · Nick Ryder · Melanie Subbiah · Jared Kaplan · Prafulla Dhariwal · Arvind Neelakantan · Pranav Shyam · Girish Sastry · Amanda Askell · Sandhini Agarwal · Ariel Herbert-Voss · Gretchen M Krueger · Tom Henighan · Rewon Child · Aditya Ramesh · Daniel Ziegler · Jeffrey Wu · Clemens Winter · Chris Hesse · Mark Chen · Eric Sigler · Mateusz Litwin · Scott Gray · Benjamin Chess · Jack Clark · Christopher Berner · Sam McCandlish · Alec Radford · Ilya Sutskever · Dario Amodei
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
In Orals & Spotlights Track 04: Reinforcement Learning
Kyunghyun Lee · Byeong-Uk Lee · Ukcheol Shin · In So Kweon
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Multi-label Contrastive Predictive Coding
In Orals & Spotlights Track 01: Representation/Relational
Jiaming Song · Stefano Ermon
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Xin Liu · Josh Fromm · Shwetak Patel · Daniel McDuff
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
In Orals & Spotlights Track 03: Language/Audio Applications
Jaehyeon Kim · Sungwon Kim · Jungil Kong · Sungroh Yoon
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Novelty Search in Representational Space for Sample Efficient Exploration
In Orals & Spotlights Track 04: Reinforcement Learning
Ruo Yu Tao · Vincent Francois-Lavet · Joelle Pineau
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Representation/Relational
Equivariant Networks for Hierarchical Structures
In Orals & Spotlights Track 01: Representation/Relational
Renhao Wang · Marjan Albooyeh · Siamak Ravanbakhsh
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Neural encoding with visual attention
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Meenakshi Khosla · Gia Ngo · Keith Jamison · Amy Kuceyeski · Mert Sabuncu
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Language/Audio Applications
The Cone of Silence: Speech Separation by Localization
In Orals & Spotlights Track 03: Language/Audio Applications
Teerapat Jenrungrot · Vivek Jayaram · Steve Seitz · Ira Kemelmacher-Shlizerman
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
In Orals & Spotlights Track 04: Reinforcement Learning
Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Exact Recovery of Mangled Clusters with Same-Cluster Queries
In Orals & Spotlights Track 05: Clustering/Ranking
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Deep Energy-based Modeling of Discrete-Time Physics
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Takashi Matsubara · Ai Ishikawa · Takaharu Yaguchi
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Vision Applications
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
In Orals & Spotlights Track 07: Vision Applications
Jiangxin Dong · Stefan Roth · Bernt Schiele
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Multiscale Deep Equilibrium Models
In Orals & Spotlights Track 08: Deep Learning
Shaojie Bai · Vladlen Koltun · J. Zico Kolter
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Privacy
Adversarially Robust Streaming Algorithms via Differential Privacy
In Orals & Spotlights Track 10: Social/Privacy
Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Learning Theory
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
In Orals & Spotlights Track 11: Learning Theory
Andrea Celli · Alberto Marchesi · Gabriele Farina · Nicola Gatti
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Deep Transformation-Invariant Clustering
In Orals & Spotlights Track 05: Clustering/Ranking
Tom Monnier · Thibault Groueix · Mathieu Aubry
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Paria Rashidinejad · Jiantao Jiao · Stuart Russell
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Vision Applications
Causal Intervention for Weakly-Supervised Semantic Segmentation
In Orals & Spotlights Track 07: Vision Applications
Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the Modularity of Hypernetworks
In Orals & Spotlights Track 08: Deep Learning
Tomer Galanti · Lior Wolf
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Escaping the Gravitational Pull of Softmax
In Orals & Spotlights Track 09: Reinforcement Learning
Jincheng Mei · Chenjun Xiao · Bo Dai · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Differentially Private Clustering: Tight Approximation Ratios
In Orals & Spotlights Track 10: Social/Privacy
Badih Ghazi · Ravi Kumar · Pasin Manurangsi
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Learning Theory
Efficient active learning of sparse halfspaces with arbitrary bounded noise
In Orals & Spotlights Track 11: Learning Theory
Chicheng Zhang · Jie Shen · Pranjal Awasthi
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Partially View-aligned Clustering
In Orals & Spotlights Track 05: Clustering/Ranking
Zhenyu Huang · Peng Hu · Joey Tianyi Zhou · Jiancheng Lv · Xi Peng
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Dissecting Neural ODEs
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Stefano Massaroli · Michael Poli · Jinkyoo Park · Atsushi Yamashita · Hajime Asama
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Vision Applications
Convolutional Generation of Textured 3D Meshes
In Orals & Spotlights Track 07: Vision Applications
Dario Pavllo · Graham Spinks · Thomas Hofmann · Marie-Francine Moens · Aurelien Lucchi
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Training Generative Adversarial Networks with Limited Data
In Orals & Spotlights Track 08: Deep Learning
Tero Karras · Miika Aittala · Janne Hellsten · Samuli Laine · Jaakko Lehtinen · Timo Aila
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Privacy
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
In Orals & Spotlights Track 10: Social/Privacy
Thomas Berrett · Cristina Butucea
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Learning Theory
Learning Parities with Neural Networks
In Orals & Spotlights Track 11: Learning Theory
Amit Daniely · Eran Malach
[ Paper ]
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Vision Applications
Space-Time Correspondence as a Contrastive Random Walk
In Orals & Spotlights Track 12: Vision Applications
Allan Jabri · Andrew Owens · Alexei Efros
[ Paper ]
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Implicit Neural Representations with Periodic Activation Functions
In Orals & Spotlights Track 13: Deep Learning/Theory
Vincent Sitzmann · Julien N.P Martel · Alexander Bergman · David Lindell · Gordon Wetzstein
[ Paper ]
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
In Orals & Spotlights Track 14: Reinforcement Learning
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Vision Applications
Rethinking Pre-training and Self-training
In Orals & Spotlights Track 12: Vision Applications
Barret Zoph · Golnaz Ghiasi · Tsung-Yi Lin · Yin Cui · Hanxiao Liu · Ekin Dogus Cubuk · Quoc V Le
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
In Orals & Spotlights Track 13: Deep Learning/Theory
Guoliang Kang · Yunchao Wei · Yi Yang · Yueting Zhuang · Alexander Hauptmann
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Learning Individually Inferred Communication for Multi-Agent Cooperation
In Orals & Spotlights Track 14: Reinforcement Learning
gang Ding · Tiejun Huang · Zongqing Lu
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Vision Applications
Do Adversarially Robust ImageNet Models Transfer Better?
In Orals & Spotlights Track 12: Vision Applications
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
In Orals & Spotlights Track 13: Deep Learning/Theory
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
In Orals & Spotlights Track 14: Reinforcement Learning
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
High-Fidelity Generative Image Compression
In Orals & Spotlights Track 15: COVID/Applications/Composition
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Continual Deep Learning by Functional Regularisation of Memorable Past
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Pingbo Pan · Siddharth Swaroop · Alexander Immer · Runa Eschenhagen · Richard Turner · Mohammad Emtiyaz Khan
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Akash Saha · Balamurugan Palaniappan
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Ultra-Low Precision 4-bit Training of Deep Neural Networks
In Orals & Spotlights Track 18: Deep Learning
Xiao Sun · Naigang Wang · Chia-Yu Chen · Jiamin Ni · Ankur Agrawal · Xiaodong Cui · Swagath Venkataramani · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Kailash Gopalakrishnan
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Network-to-Network Translation with Conditional Invertible Neural Networks
In Orals & Spotlights Track 19: Probabilistic/Causality
Robin Rombach · Patrick Esser · Bjorn Ommer
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
In Orals & Spotlights Track 20: Social/Adversarial Learning
Huanrui Yang · Jingyang Zhang · Hongliang Dong · Nathan Inkawhich · Andrew Gardner · Andrew Touchet · Wesley Wilkes · Heath Berry · Hai Li
[ Paper ]
Oral
Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Optimization
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
In Orals & Spotlights Track 21: Optimization
Benjamin Recht · Christopher Ré · Stephen Wright · Feng Niu
[ Video] 
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Learning Composable Energy Surrogates for PDE Order Reduction
In Orals & Spotlights Track 15: COVID/Applications/Composition
Alex Beatson · Jordan Ash · Geoffrey Roeder · Tianju Xue · Ryan Adams
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Look-ahead Meta Learning for Continual Learning
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Gunshi Gupta · Karmesh Yadav · Liam Paull
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Giacomo Meanti · Luigi Carratino · Lorenzo Rosasco · Alessandro Rudi
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
Reservoir Computing meets Recurrent Kernels and Structured Transforms
In Orals & Spotlights Track 18: Deep Learning
Jonathan Dong · Ruben Ohana · Mushegh Rafayelyan · Florent Krzakala
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Causal Imitation Learning With Unobserved Confounders
In Orals & Spotlights Track 19: Probabilistic/Causality
Junzhe Zhang · Daniel Kumor · Elias Bareinboim
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Metric-Free Individual Fairness in Online Learning
In Orals & Spotlights Track 20: Social/Adversarial Learning
Yahav Bechavod · Christopher Jung · Steven Wu
[ Paper ]
Oral
Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Optimization
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
In Orals & Spotlights Track 21: Optimization
Hicham Janati · Boris Muzellec · Gabriel Peyré · Marco Cuturi
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
In Orals & Spotlights Track 15: COVID/Applications/Composition
Mayalen Etcheverry · Clément Moulin-Frier · Pierre-Yves Oudeyer
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
NeuMiss networks: differentiable programming for supervised learning with missing values.
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Marine Le Morvan · Julie Josse · Thomas Moreau · Erwan Scornet · Gael Varoquaux
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
A Group-Theoretic Framework for Data Augmentation
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Shuxiao Chen · Edgar Dobriban · Jane Lee
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
The interplay between randomness and structure during learning in RNNs
In Orals & Spotlights Track 18: Deep Learning
Friedrich Schuessler · Francesca Mastrogiuseppe · Alexis Dubreuil · Srdjan Ostojic · Omri Barak
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Gradient Estimation with Stochastic Softmax Tricks
In Orals & Spotlights Track 19: Probabilistic/Causality
Max Paulus · Dami Choi · Danny Tarlow · Andreas Krause · Chris Maddison
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Fair regression via plug-in estimator and recalibration with statistical guarantees
In Orals & Spotlights Track 20: Social/Adversarial Learning
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
[ Paper ]
Oral
Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Optimization
Acceleration with a Ball Optimization Oracle
In Orals & Spotlights Track 21: Optimization
Yair Carmon · Arun Jambulapati · Qijia Jiang · Yujia Jin · Yin Tat Lee · Aaron Sidford · Kevin Tian
[ Paper ]
Oral
Wed Dec 09 06:45 AM -- 07:00 AM (PST) @ Orals & Spotlights: Optimization
Convex optimization based on global lower second-order models
In Orals & Spotlights Track 21: Optimization
Nikita Doikov · Yurii Nesterov
[ Paper ]
Oral
Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Vision Applications
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
In Orals & Spotlights Track 22: Vision Applications
Feng Liu · Xiaoming Liu
[ Paper ]
Oral
Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
FrugalML: How to use ML Prediction APIs more accurately and cheaply
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Lingjiao Chen · Matei Zaharia · James Zou
[ Paper ]
Oral
Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Learning Theory
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
In Orals & Spotlights Track 24: Learning Theory
Michal Derezinski · Rajiv Khanna · Michael Mahoney
[ Paper ]
Oral
Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Vision Applications
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
In Orals & Spotlights Track 22: Vision Applications
Bharat Lal Bhatnagar · Cristian Sminchisescu · Christian Theobalt · Gerard Pons-Moll
[ Paper ]
Oral
Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark
[ Paper ]
Oral
Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Learning Theory
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
In Orals & Spotlights Track 24: Learning Theory
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang
[ Paper ]
Oral
Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Vision Applications
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
In Orals & Spotlights Track 22: Vision Applications
Katherine L. Hermann · Ting Chen · Simon Kornblith
[ Paper ]
Oral
Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
PyGlove: Symbolic Programming for Automated Machine Learning
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Daiyi Peng · Xuanyi Dong · Esteban Real · Mingxing Tan · Yifeng Lu · Gabriel Bender · Hanxiao Liu · Adam Kraft · Chen Liang · Quoc V Le
[ Paper ]
Oral
Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Learning Theory
Worst-Case Analysis for Randomly Collected Data
In Orals & Spotlights Track 24: Learning Theory
Justin Chen · Gregory Valiant · Paul Valiant
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Lynton Ardizzone · Radek Mackowiak · Carsten Rother · Ullrich Köthe
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Graph Cross Networks with Vertex Infomax Pooling
In Orals & Spotlights Track 26: Graph/Relational/Theory
Maosen Li · Siheng Chen · Ya Zhang · Ivor Tsang
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Contrastive learning of global and local features for medical image segmentation with limited annotations
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Krishna Chaitanya · Ertunc Erdil · Neerav Karani · Ender Konukoglu
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
A shooting formulation of deep learning
In Orals & Spotlights Track 28: Deep Learning
François-Xavier Vialard · Roland Kwitt · Susan Wei · Marc Niethammer
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Neuroscience
Learning abstract structure for drawing by efficient motor program induction
In Orals & Spotlights Track 29: Neuroscience
Lucas Tian · Kevin Ellis · Marta Kryven · Josh Tenenbaum
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Optimization/Theory
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
In Orals & Spotlights Track 30: Optimization/Theory
Antonio Barbalau · Adrian Cosma · Radu Tudor Ionescu · Marius Popescu
[ Paper ]
Oral
Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
In Orals & Spotlights Track 31: Reinforcement Learning
Edouard Leurent · Odalric-Ambrym Maillard · Denis Efimov
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Fast and Flexible Temporal Point Processes with Triangular Maps
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Oleksandr Shchur · Nicholas Gao · Marin Biloš · Stephan Günnemann
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
In Orals & Spotlights Track 26: Graph/Relational/Theory
Nikolaos Karalias · Andreas Loukas
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the training dynamics of deep networks with $L_2$ regularization
In Orals & Spotlights Track 28: Deep Learning
Aitor Lewkowycz · Guy Gur-Ari
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Neuroscience
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
In Orals & Spotlights Track 29: Neuroscience
Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Optimization/Theory
Towards a Better Global Loss Landscape of GANs
In Orals & Spotlights Track 30: Optimization/Theory
Ruoyu Sun · Tiantian Fang · Alex Schwing
[ Paper ]
Oral
Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Self-Paced Deep Reinforcement Learning
In Orals & Spotlights Track 31: Reinforcement Learning
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Greedy inference with structure-exploiting lazy maps
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Michael Brennan · Daniele Bigoni · Olivier Zahm · Alessio Spantini · Youssef Marzouk
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
In Orals & Spotlights Track 26: Graph/Relational/Theory
Wenzheng Feng · Jie Zhang · Yuxiao Dong · Yu Han · Huanbo Luan · Qian Xu · Qiang Yang · Evgeny Kharlamov · Jie Tang
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Didrik Nielsen · Priyank Jaini · Emiel Hoogeboom · Ole Winther · Max Welling
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Compositional Explanations of Neurons
In Orals & Spotlights Track 28: Deep Learning
Jesse Mu · Jacob Andreas
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Neuroscience
Gibbs Sampling with People
In Orals & Spotlights Track 29: Neuroscience
Peter Harrison · Raja Marjieh · Federico G Adolfi · Pol van Rijn · Manuel Anglada-Tort · Ofer Tchernichovski · Pauline Larrouy-Maestri · Nori Jacoby
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Optimization/Theory
Online Sinkhorn: Optimal Transport distances from sample streams
In Orals & Spotlights Track 30: Optimization/Theory
Arthur Mensch · Gabriel Peyré
[ Paper ]
Oral
Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning
In Orals & Spotlights Track 31: Reinforcement Learning
Nino Vieillard · Tadashi Kozuno · Bruno Scherrer · Olivier Pietquin · Remi Munos · Matthieu Geist
[ Paper ]
Oral
Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Optimization
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
In Orals & Spotlights Track 32: Optimization
Jonathan Lacotte · Mert Pilanci
[ Paper ]
Oral
Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Theory-Inspired Path-Regularized Differential Network Architecture Search
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi
[ Paper ]
Oral
Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning
Is normalization indispensable for training deep neural network?
In Orals & Spotlights Track 34: Deep Learning
Jie Shao · Kai Hu · Changhu Wang · Xiangyang Xue · Bhiksha Raj
[ Paper ]
Oral
Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Point process models for sequence detection in high-dimensional neural spike trains
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Alex Williams · Anthony Degleris · Yixin Wang · Scott Linderman
[ Paper ]
Oral
Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Optimization
The Primal-Dual method for Learning Augmented Algorithms
In Orals & Spotlights Track 32: Optimization
Etienne Bamas · Andreas Maggiori · Ola Svensson
[ Paper ]
Oral
Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Cheng Zhang
[ Paper ]
Oral
Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
In Orals & Spotlights Track 34: Deep Learning
Ryo Karakida · Kazuki Osawa
[ Paper ]
Oral
Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Tao Fang · Yu Qi · Gang Pan
[ Paper ]
Oral
Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Optimization
Fully Dynamic Algorithm for Constrained Submodular Optimization
In Orals & Spotlights Track 32: Optimization
Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Jakub Tarnawski · Morteza Zadimoghaddam
[ Paper ]
Oral
Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Transferable Graph Optimizers for ML Compilers
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Yanqi Zhou · Sudip Roy · Amirali Abdolrashidi · Daniel Wong · Peter Ma · Qiumin Xu · Hanxiao Liu · Phitchaya Phothilimtha · Shen Wang · Anna Goldie · Azalia Mirhoseini · James Laudon
[ Paper ]
Oral
Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
In Orals & Spotlights Track 34: Deep Learning
Zhou Fan · Zhichao Wang
[ Paper ]
Oral
Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
A mathematical theory of cooperative communication
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Pei Wang · Junqi Wang · Pushpi Paranamana · Patrick Shafto
[ Paper ]