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The 2021 schedule is still incomplete
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Poster
@ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Expo Talk Panel
Sun Jul 18 05:00 AM -- 06:00 AM (PDT)
Machine Learning for Addressing Power Grid Congestion
Christopher Davis
Expo Workshop
Sun Jul 18 05:00 AM -- 09:30 AM (PDT)
Real World RL: Azure Personalizer & Vowpal Wabbit
Sheetal Lahabar · Etienne Kintzler · Mark Rucker · Bogdan Mazoure · Qingyun Wu · Pavithra Srinath · Jack Gerrits · Olga Vrousgou · John Langford · Eduardo Salinas
Expo Workshop
Sun Jul 18 05:00 AM -- 09:00 AM (PDT)
High-Quality Data Labeling at Scale with Toloka
Olga Megorskaya · Saiph Savage · Omar Alonso · Daria Baidakova · Dmitry Ustalov · Vladimir Losev · Oleg Pavlov · Kate Saenko
Expo Talk Panel
Sun Jul 18 06:00 AM -- 07:00 AM (PDT)
The latest advances and use-cases in the field of Causal AI
Darko Matovski · Alejandro Ortega Ancel
Expo Talk Panel
Sun Jul 18 07:00 AM -- 08:00 AM (PDT)
Unique Research Opportunities in AI Algorithms, Health, Traffic, and Weather
Johannes Brandstetter · Sepp Hochreiter · Michael Kopp · David P Kreil · Alina Mihai
Expo Talk Panel
Sun Jul 18 08:00 AM -- 09:00 AM (PDT)
Cool Moves: Decoupling physical motions and self-avatar motions in Virtual Reality
Eyal Ofek
Expo Demonstration
Sun Jul 18 09:00 AM -- 10:00 AM (PDT)
Neural Video Codec Demo
Ron Tindall
Expo Talk Panel
Sun Jul 18 10:00 AM -- 11:00 AM (PDT)
IBM Analog Hardware Acceleration Kit
Kaoutar El Maghraoui · Malte J Rasch
Expo Talk Panel
Sun Jul 18 05:00 PM -- 05:59 PM (PDT)
Enterprise-Strength Federated Learning: New Algorithms, New Paradigms, and a Participant-Interactive Demonstration Session
Laura Wynter · Nathalie Baracaldo · Chaitanya Kumar · Parijat Dube · Mikhail Yurochkin · Theodoros Salonidis · Shiqiang Wang
Expo Workshop
Sun Jul 18 05:00 PM -- 09:00 PM (PDT)
PaddlePaddle-based Deep Learning at Baidu
Dejing Dou · Chenxia Li · Teng Xi · Dingfu Zhou · Tianyi Wu · Xuhong Li · Zhengjie Huang · Guocheng Niu · Ji Liu · Yaqing Wang · Xin Wang · Qianwei Cai
Expo Talk Panel
Sun Jul 18 07:00 PM -- 08:00 PM (PDT)
Graviti Open Datasets: A peek into the future of Open Data
Yunkai Cui · Junbo Zhao
Expo Demonstration
Sun Jul 18 09:00 PM -- 10:00 PM (PDT)
Explainable Entity Matching for Master Data Management
Balaji Ganesan · Soma Shekar Naganna
Affinity Workshop
Mon Jul 19 08:00 AM -- 05:00 PM (PDT)
LatinX in AI (LXAI) Research at ICML 2021
Maria Luisa Santiago · Miguel Alonso Jr · Laura Montoya · William Berrios · Fiorela Manco Fernández · Diana Diaz · Vinicius Caridá · LOURDES RAMIREZ CERNA · Pedro Braga · Gabriel Ramos · Leonel Rozo · Walter Mayor · Vanessa Gilede · Dennis Núñez-Fernández · Erick Mendez Guzman · Paola Cascante-Bonilla
Tutorial
Mon Jul 19 08:00 AM -- 11:15 AM (PDT)
From ML research to ML products: A path towards building models with real-world impact
Gholamreza Salimi-Khorshidi · Peyman Faratin
Tutorial
Mon Jul 19 08:00 AM -- 10:59 AM (PDT)
Sparsity in Deep Learning: Pruning and growth for efficient inference and training
Torsten Hoefler · Dan Alistarh
[ Paper ]
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT) @ Virtual
Natural-XAI: Explainable AI with Natural Language Explanations
Oana-Maria Camburu · Zeynep Akata
[ Slides] 
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Synthetic Healthcare Data Generation and Assessment: Challenges, Methods, and Impact on Machine Learning
Ahmed M. Alaa · Mihaela van der Schaar
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT) @ Virtual
Responsible AI in Industry: Practical Challenges and Lessons Learned
Krishnaram Kenthapadi · Ben Packer · Mehrnoosh Sameki · Nashlie Sephus
[ Slides] 
Tutorial
Mon Jul 19 08:00 AM -- 11:05 AM (PDT) @ Virtual
Continual Learning with Deep Architectures
Vincenzo Lomonaco · Irina Rish
[ Slides] 
Tutorial
Mon Jul 19 12:00 PM -- 02:50 PM (PDT)
Social Implications of Large Language Models
Hal Daumé III · Kate Crawford
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Online and non-stochastic control
Elad Hazan · Karan Singh
[ Slides] 
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Unsupervised Learning for Reinforcement Learning
Aravind Srinivas · Pieter Abbeel
[ Slides] 
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Random Matrix Theory and ML (RMT+ML)
Fabian Pedregosa · Courtney Paquette · Thomas Trogdon · Jeffrey Pennington
[ Slides] 
Affinity Poster Session
Mon Jul 19 06:00 PM -- 08:00 PM (PDT)
LatinX in AI, Queer in AI, WiML - Joint Poster Session
Tutorial
Mon Jul 19 08:00 PM -- 10:45 PM (PDT) @ Virtual
Self-Attention for Computer Vision
Aravind Srinivas · Prajit Ramachandran · Ashish Vaswani
[ Slides] 
Tutorial
Mon Jul 19 08:00 PM -- 11:00 PM (PDT) @ Virtual
Privacy in learning: Basics and the interplay
Huishuai Zhang · Wei Chen
[ Slides] 
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
In Deep Learning Applications
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
In Deep Learning Architectures
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
In Optimal Transport
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
In Reinforcement Learning (Multi-agent)
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Size-Invariant Graph Representations for Graph Classification Extrapolations
In Graph Learning
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Optimal Complexity in Decentralized Training
In Optimization (Distributed)
Yucheng Lu · Christopher De Sa
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Phasic Policy Gradient
In Deep Reinforcement Learning 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
In Deep Reinforcement Learning 2
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
In Auto-ML and Optimization
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
In Deep Learning Applications
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
In Graph Learning
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
In Auto-ML and Optimization
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
In Deep Reinforcement Learning 2
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Reinforcement Learning with Prototypical Representations
In Deep Reinforcement Learning 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Outlier-Robust Optimal Transport
In Optimal Transport
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Optimization (Distributed)
Mher Safaryan · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
In Deep Learning Architectures
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
In Graph Learning
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
In Optimal Transport
David Alvarez-Melis · Nicolo Fusi
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
In Deep Learning Architectures
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Optimization (Distributed)
Tomoya Murata · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
In Deep Reinforcement Learning 1
Seungyul Han · Youngchul Sung
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
In Deep Reinforcement Learning 2
Christopher Dance · Perez Julien · Théo Cachet
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
In Auto-ML and Optimization
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
In Deep Learning Applications
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Muesli: Combining Improvements in Policy Optimization
In Deep Reinforcement Learning 1
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
In Deep Reinforcement Learning 2
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
In Deep Learning Applications
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
In Optimization (Distributed)
Ran Xin · Usman Khan · Soummya Kar
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
In Reinforcement Learning (Multi-agent)
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Auto-ML and Optimization
Johannes Kirschner · Andreas Krause
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Breaking the Limits of Message Passing Graph Neural Networks
In Graph Learning
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Generative Adversarial Transformers
In Deep Learning Architectures
Drew A. Hudson · Larry Zitnick
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Sliced Iterative Normalizing Flows
In Optimal Transport
Biwei Dai · Uros Seljak
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
In Reinforcement Learning (Multi-agent)
Yuda Song · Wen Sun
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
In Optimization (Distributed)
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Evolving Attention with Residual Convolutions
In Deep Learning Architectures
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Unsupervised Learning of Visual 3D Keypoints for Control
In Deep Reinforcement Learning 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Preferential Temporal Difference Learning
In Deep Reinforcement Learning 2
Nishanth Anand · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Low-Rank Sinkhorn Factorization
In Optimal Transport
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Strategic Classification Made Practical
In Deep Learning Applications
Sagi Levanon · Nir Rosenfeld
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
In Auto-ML and Optimization
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
In Graph Learning
Gilad Yehudai · Ethan Fetaya · Eli Meirom · Gal Chechik · Haggai Maron
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
In Deep Learning Applications
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Imitation by Predicting Observations
In Reinforcement Learning (Multi-agent)
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Sparsifying Networks via Subdifferential Inclusion
In Auto-ML and Optimization
Sagar Verma · Jean-Christophe Pesquet
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
In Optimal Transport
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
In Deep Reinforcement Learning 2
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Learning Task Informed Abstractions
In Deep Reinforcement Learning 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Interpretable Stability Bounds for Spectral Graph Filters
In Graph Learning
Henry Kenlay · Dorina Thanou · Xiaowen Dong
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
In Optimization (Distributed)
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
In Deep Learning Architectures
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
[ Paper ]
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Deep Reinforcement Learning 2
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Auto-ML and Optimization
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Reinforcement Learning (Multi-agent)
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
In Graph Learning
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
In Optimal Transport
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
In Optimization (Distributed)
Dmitrii Avdiukhin · Shiva Kasiviswanathan
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
UnICORNN: A recurrent model for learning very long time dependencies
In Deep Learning Architectures
T. Konstantin Rusch · Siddhartha Mishra
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
State Entropy Maximization with Random Encoders for Efficient Exploration
In Deep Reinforcement Learning 1
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
In Deep Learning Applications
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
[ Paper ]
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Graph Learning
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimization (Distributed)
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimal Transport
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Applications
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Architectures
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Reinforcement Learning 1
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
What Are Bayesian Neural Network Posteriors Really Like?
In Deep Learning (Bayesian)
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
In Deep Learning Algorithms 1
Eric Wong · Shibani Santurkar · Aleksander Madry
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
In Optimization (Convex) 1
Chaobing Song · Stephen Wright · Jelena Diakonikolas
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
In Reinforcement Learning 1
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
In Deep Learning Theory 1
Floris Geerts · Filip Mazowiecki · Guillermo Perez
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Neural Architecture Search without Training
In AutoML and Deep Architecture
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
In Deep Generative Model 1
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
In Deep Learning Algorithms 2
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In Optimization 1
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
In Deep Learning Algorithms 1
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Projection Robust Wasserstein Barycenters
In Optimization 1
Minhui Huang · Shiqian Ma · Lifeng Lai
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
In Deep Learning (Bayesian)
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Efficient Differentiable Simulation of Articulated Bodies
In Deep Learning Algorithms 2
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
In Deep Generative Model 1
Shumao Zhang · Pengchuan Zhang · Thomas Hou
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
In AutoML and Deep Architecture
Gedas Bertasius · Heng Wang · Lorenzo Torresani
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In Reinforcement Learning 1
Zhang Zihan · Yuan Zhou · Xiangyang Ji
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Dueling Convex Optimization
In Optimization (Convex) 1
Aadirupa Saha · Tomer Koren · Yishay Mansour
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Fundamental Tradeoffs in Distributionally Adversarial Training
In Deep Learning Theory 1
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
In Reinforcement Learning 1
Marin Vlastelica · Michal Rolinek · Georg Martius
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
In Deep Learning Theory 1
Roei Sarussi · Alon Brutzkus · Amir Globerson
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
In Deep Generative Model 1
Youzhi Luo · Keqiang Yan · Shuiwang Ji
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
In AutoML and Deep Architecture
Xin Qian · Diego Klabjan
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
In Optimization 1
Jan-Hendrik Lange · Paul Swoboda
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
In Deep Learning (Bayesian)
Aurick Zhou · Sergey Levine
[ Slides] 
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
In Optimization (Convex) 1
Tolga Ergen · Mert Pilanci
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
In Deep Learning Algorithms 2
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Self-Tuning for Data-Efficient Deep Learning
In Deep Learning Algorithms 1
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
In Deep Learning Theory 1
Sebastian Lee · Sebastian Goldt · Andrew Saxe
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Connecting Sphere Manifolds Hierarchically for Regularization
In Deep Learning Algorithms 2
Damien Scieur · Youngsung Kim
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Parameter-free Locally Accelerated Conditional Gradients
In Optimization (Convex) 1
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Deep kernel processes
In Deep Learning (Bayesian)
Laurence Aitchison · Adam Yang · Sebastian Ober
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
How Framelets Enhance Graph Neural Networks
In Deep Learning Algorithms 1
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Hierarchical VAEs Know What They Don’t Know
In Deep Generative Model 1
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
PID Accelerated Value Iteration Algorithm
In Reinforcement Learning 1
Amir-massoud Farahmand · Mohammad Ghavamzadeh
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
KNAS: Green Neural Architecture Search
In AutoML and Deep Architecture
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Distributionally Robust Optimization with Markovian Data
In Optimization 1
Mengmeng Li · Tobias Sutter · Daniel Kuhn
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
In Deep Learning (Bayesian)
Sebastian Ober · Laurence Aitchison
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
A Functional Perspective on Learning Symmetric Functions with Neural Networks
In Deep Learning Theory 1
Aaron Zweig · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
In Deep Generative Model 1
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco Ruiz · Liping Liu
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
In Optimization 1
Naman Agarwal · Surbhi Goel · Cyril Zhang
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
In Optimization (Convex) 1
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
In Deep Learning Algorithms 1
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Provably Efficient Learning of Transferable Rewards
In Reinforcement Learning 1
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
In Deep Learning Algorithms 2
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
In AutoML and Deep Architecture
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
In Deep Learning Theory 1
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Bayesian Deep Learning via Subnetwork Inference
In Deep Learning (Bayesian)
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Thinking Like Transformers
In Deep Learning Algorithms 2
Gail Weiss · Yoav Goldberg · Eran Yahav
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
In Optimization 1
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
In AutoML and Deep Architecture
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
In Optimization (Convex) 1
Vladimir Kolmogorov · Thomas Pock
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
In Reinforcement Learning 1
Wesley A Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Generative Video Transformer: Can Objects be the Words?
In Deep Generative Model 1
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Self Normalizing Flows
In Deep Learning Algorithms 1
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Generative Particle Variational Inference via Estimation of Functional Gradients
In Deep Learning (Bayesian)
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
On the Random Conjugate Kernel and Neural Tangent Kernel
In Deep Learning Theory 1
Zhengmian Hu · Heng Huang
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Provably Strict Generalisation Benefit for Equivariant Models
In AutoML and Deep Architecture
Bryn Elesedy · Sheheryar Zaidi
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
In Optimization 1
Johannes Gasteiger · Marten Lienen · Stephan Günnemann
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
In Deep Learning Algorithms 2
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
In Deep Generative Model 1
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Value Alignment Verification
In Reinforcement Learning 1
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
In Optimization (Convex) 1
Mengfan Wang · Boyu Lyu · Guoqiang Yu
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
In Deep Learning Algorithms 1
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
[ Paper ]
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Generative Model 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Optimization 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Algorithms 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning (Bayesian)
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Algorithms 2
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In AutoML and Deep Architecture
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Theory 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Optimization (Convex) 1
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Not All Memories are Created Equal: Learning to Forget by Expiring
In Deep Learning 1
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Directional Graph Networks
In Deep Learning Algorithms 4
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
In Reinforcement Learning 2
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
World Model as a Graph: Learning Latent Landmarks for Planning
In Reinforcement Learning and Planning 1
Lunjun Zhang · Ge Yang · Bradly Stadie
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
In Optimization 2
Vien Mai · Mikael Johansson
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
In Deep Generative Model 2
Adeel Pervez · Efstratios Gavves
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Skill Discovery for Exploration and Planning using Deep Skill Graphs
In Reinforcement Learning and Planning 2
Akhil Bagaria · Jason Senthil · George Konidaris
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
In AutoML and Neural Network Architectures 1
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
In Deep Learning Algorithms 3
Wonjae Kim · Bokyung Son · Ildoo Kim
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
In Reinforcement Learning 2
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Riemannian Convex Potential Maps
In Deep Generative Model 2
samuel cohen · Brandon Amos · Yaron Lipman
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
In Reinforcement Learning and Planning 1
Johan Obando Ceron · Pablo Samuel Castro
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Bounds for Open-Set Learning
In Deep Learning 1
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
In Reinforcement Learning and Planning 2
Edoardo Cetin · Oya Celiktutan
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Winograd Algorithm for AdderNet
In Deep Learning Algorithms 4
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
In AutoML and Neural Network Architectures 1
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Curves for Analysis of Deep Networks
In Deep Learning Algorithms 3
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
In Optimization 2
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
In Reinforcement Learning and Planning 1
Annie Xie · James Harrison · Chelsea Finn
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
E(n) Equivariant Graph Neural Networks
In AutoML and Neural Network Architectures 1
Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
In Optimization 2
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
In Reinforcement Learning and Planning 2
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
In Reinforcement Learning 2
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Perceiver: General Perception with Iterative Attention
In Deep Learning 1
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
GLSearch: Maximum Common Subgraph Detection via Learning to Search
In Deep Learning Algorithms 3
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Autoencoding Under Normalization Constraints
In Deep Generative Model 2
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
In Deep Learning Algorithms 4
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning and Planning in Complex Action Spaces
In Reinforcement Learning and Planning 2
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning Intra-Batch Connections for Deep Metric Learning
In Deep Learning Algorithms 3
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Targeted Data Acquisition for Evolving Negotiation Agents
In Reinforcement Learning 2
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
In Deep Learning 1
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
In Deep Learning Algorithms 4
Patrick Kidger · Ricky T. Q. Chen · Terry Lyons
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
In Reinforcement Learning and Planning 1
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
PixelTransformer: Sample Conditioned Signal Generation
In Deep Generative Model 2
Shubham Tulsiani · Abhinav Gupta
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Grid-Functioned Neural Networks
In AutoML and Neural Network Architectures 1
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Fast Projection Onto Convex Smooth Constraints
In Optimization 2
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Graph Mixture Density Networks
In Deep Learning Algorithms 4
Federico Errica · Davide Bacciu · Alessio Micheli
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
In Deep Learning Algorithms 3
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
In Deep Learning 1
Maxwell M Aladago · Lorenzo Torresani
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
In Reinforcement Learning and Planning 2
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
In Optimization 2
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
MSA Transformer
In AutoML and Neural Network Architectures 1
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
In Reinforcement Learning and Planning 1
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Inverse Constrained Reinforcement Learning
In Reinforcement Learning 2
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
In Deep Generative Model 2
Sung Woo Park · Dong Wook Shu · Junseok Kwon
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Multiplicative Noise and Heavy Tails in Stochastic Optimization
In Optimization 2
Liam Hodgkinson · Michael Mahoney
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
In Deep Generative Model 2
Alon Oring · Zohar Yakhini · Yacov Hel-Or
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Vector Quantized Models for Planning
In Reinforcement Learning and Planning 2
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
In Deep Learning 1
Jonas Fischer · Anna Olah · Jilles Vreeken
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
In Reinforcement Learning 2
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
In Reinforcement Learning and Planning 1
Dennis Wei
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Parallelizing Legendre Memory Unit Training
In AutoML and Neural Network Architectures 1
Narsimha Reddy Chilkuri · Chris Eliasmith
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Unifying Vision-and-Language Tasks via Text Generation
In Deep Learning Algorithms 3
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Momentum Residual Neural Networks
In Deep Learning Algorithms 4
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
[ Paper ]
Q&A
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Q&A
In AutoML and Neural Network Architectures 1
Q&A
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Q&A
In Reinforcement Learning and Planning 1
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
In Deep Learning Algorithms 3
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
In Deep Generative Model 2
Alexander Nichol · Prafulla Dhariwal
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
In Deep Learning Algorithms 4
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
In Deep Learning 1
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
In Reinforcement Learning and Planning 2
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
In Optimization 2
Rustem Islamov · Xun Qian · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Interactive Learning from Activity Description
In Reinforcement Learning 2
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
[ Paper ]
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning Algorithms 4
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Generative Model 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning Algorithms 3
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Optimization 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Reinforcement Learning and Planning 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning 1
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Reinforcement Learning 2
Affinity Workshop
Tue Jul 20 08:00 AM -- 05:00 PM (PDT)
Queer in AI Workshop
Arjun Subramonian · Sharvani Jha · Vishakha Agrawal · Juan Pajaro Velasquez · MaryLena Bleile · Michelle Julia Ng
Invited Talk
Tue Jul 20 08:00 AM -- 09:00 AM (PDT)
Rethinking Drug Discovery in the Era of Digital Biology
Daphne Koller
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
In Poster Session 1
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
In Poster Session 1
Naman Agarwal · Surbhi Goel · Cyril Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Targeted Data Acquisition for Evolving Negotiation Agents
In Poster Session 1
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Perceiver: General Perception with Iterative Attention
In Poster Session 1
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MC-LSTM: Mass-Conserving LSTM
In Poster Session 1
Pieter-Jan Hoedt · Frederik Kratzert · Daniel Klotz · Christina Halmich · Markus Holzleitner · Grey Nearing · Sepp Hochreiter · Günter Klambauer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dueling Convex Optimization
In Poster Session 1
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
In Poster Session 1
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning and Planning in Complex Action Spaces
In Poster Session 1
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
In Poster Session 1
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang “Atlas” Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reinforcement Learning with Prototypical Representations
In Poster Session 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
In Poster Session 1
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
In Poster Session 1
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
In Poster Session 1
Mengfan Wang · Boyu Lyu · Guoqiang Yu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
In Poster Session 1
Adeel Pervez · Efstratios Gavves
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Parallelizing Legendre Memory Unit Training
In Poster Session 1
Narsimha Reddy Chilkuri · Chris Eliasmith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Efficient Learning of Transferable Rewards
In Poster Session 1
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
In Poster Session 1
Maxwell M Aladago · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
In Poster Session 1
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang “Atlas” Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
In Poster Session 1
Eric Wong · Shibani Santurkar · Aleksander Madry
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
In Poster Session 1
Sung Woo Park · Dong Wook Shu · Junseok Kwon
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Phasic Policy Gradient
In Poster Session 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sparsifying Networks via Subdifferential Inclusion
In Poster Session 1
Sagar Verma · Jean-Christophe Pesquet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
In Poster Session 1
Wonjae Kim · Bokyung Son · Ildoo Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interactive Learning from Activity Description
In Poster Session 1
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
In Poster Session 1
Xin Qian · Diego Klabjan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self Normalizing Flows
In Poster Session 1
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Poster Session 1
Roberta Raileanu · Rob Fergus
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
In Poster Session 1
Seungyul Han · Youngchul Sung
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
In Poster Session 1
Gilad Yehudai · Ethan Fetaya · Eli Meirom · Gal Chechik · Haggai Maron
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
GLSearch: Maximum Common Subgraph Detection via Learning to Search
In Poster Session 1
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Skill Discovery for Exploration and Planning using Deep Skill Graphs
In Poster Session 1
Akhil Bagaria · Jason Senthil · George Konidaris
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
In Poster Session 1
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
In Poster Session 1
Wesley A Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
In Poster Session 1
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Muesli: Combining Improvements in Policy Optimization
In Poster Session 1
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Projection Robust Wasserstein Barycenters
In Poster Session 1
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
In Poster Session 1
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Inverse Constrained Reinforcement Learning
In Poster Session 1
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
In Poster Session 1
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
In Poster Session 1
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
In Poster Session 1
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
In Poster Session 1
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
In Poster Session 1
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
In Poster Session 1
Floris Geerts · Filip Mazowiecki · Guillermo Perez
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
In Poster Session 1
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
In Poster Session 1
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
In Poster Session 1
Jan-Hendrik Lange · Paul Swoboda
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Differentiable Simulation of Articulated Bodies
In Poster Session 1
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
In Poster Session 1
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
In Poster Session 1
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
How Framelets Enhance Graph Neural Networks
In Poster Session 1
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
In Poster Session 1
Sebastian Lee · Sebastian Goldt · Andrew Saxe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
KNAS: Green Neural Architecture Search
In Poster Session 1
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
In Poster Session 1
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
In Poster Session 1
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
In Poster Session 1
Youzhi Luo · Keqiang Yan · Shuiwang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
In Poster Session 1
Shumao Zhang · Pengchuan Zhang · Thomas Hou
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
In Poster Session 1
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
In Poster Session 1
Tolga Ergen · Mert Pilanci
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Strict Generalisation Benefit for Equivariant Models
In Poster Session 1
Bryn Elesedy · Sheheryar Zaidi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
In Poster Session 1
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
In Poster Session 1
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Winograd Algorithm for AdderNet
In Poster Session 1
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Sliced Iterative Normalizing Flows
In Poster Session 1
Biwei Dai · Uros Seljak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Architecture Search without Training
In Poster Session 1
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
In Poster Session 1
Marin Vlastelica · Michal Rolinek · Georg Martius
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
In Poster Session 1
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PixelTransformer: Sample Conditioned Signal Generation
In Poster Session 1
Shubham Tulsiani · Abhinav Gupta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Functional Perspective on Learning Symmetric Functions with Neural Networks
In Poster Session 1
Aaron Zweig · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
In Poster Session 1
Sebastian Ober · Laurence Aitchison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Value Alignment Verification
In Poster Session 1
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
In Poster Session 1
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
In Poster Session 1
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Not All Memories are Created Equal: Learning to Forget by Expiring
In Poster Session 1
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Noise and Heavy Tails in Stochastic Optimization
In Poster Session 1
Liam Hodgkinson · Michael Mahoney
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
In Poster Session 1
Jonas Fischer · Anna Olah · Jilles Vreeken
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
In Poster Session 1
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Connecting Sphere Manifolds Hierarchically for Regularization
In Poster Session 1
Damien Scieur · Youngsung Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Strategic Classification Made Practical
In Poster Session 1
Sagi Levanon · Nir Rosenfeld
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
In Poster Session 1
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
In Poster Session 1
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
In Poster Session 1
Annie Xie · James Harrison · Chelsea Finn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
In Poster Session 1
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
UnICORNN: A recurrent model for learning very long time dependencies
In Poster Session 1
T. Konstantin Rusch · Siddhartha Mishra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
In Poster Session 1
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
In Poster Session 1
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Tuning for Data-Efficient Deep Learning
In Poster Session 1
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
In Poster Session 1
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Are Bayesian Neural Network Posteriors Really Like?
In Poster Session 1
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Preferential Temporal Difference Learning
In Poster Session 1
Nishanth Anand · Doina Precup
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Learning of Visual 3D Keypoints for Control
In Poster Session 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Mixture Density Networks
In Poster Session 1
Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
In Poster Session 1
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Intra-Batch Connections for Deep Metric Learning
In Poster Session 1
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Parameter-free Locally Accelerated Conditional Gradients
In Poster Session 1
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Bounds for Open-Set Learning
In Poster Session 1
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
In Poster Session 1
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
In Poster Session 1
Patrick Kidger · Ricky T. Q. Chen · Terry Lyons
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
In Poster Session 1
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
In Poster Session 1
Rustem Islamov · Xun Qian · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
In Poster Session 1
Vien Mai · Mikael Johansson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoding Under Normalization Constraints
In Poster Session 1
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Poster Session 1
Mher Safaryan · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
In Poster Session 1
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
In Poster Session 1
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
In Poster Session 1
Johannes Gasteiger · Marten Lienen · Stephan Günnemann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
In Poster Session 1
Dennis Wei
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Video Transformer: Can Objects be the Words?
In Poster Session 1
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
In Poster Session 1
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
In Poster Session 1
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
In Poster Session 1
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directional Graph Networks
In Poster Session 1
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
In Poster Session 1
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
In Poster Session 1
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
In Poster Session 1
David Alvarez-Melis · Nicolo Fusi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
E(n) Equivariant Graph Neural Networks
In Poster Session 1
Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Curves for Analysis of Deep Networks
In Poster Session 1
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MSA Transformer
In Poster Session 1
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grid-Functioned Neural Networks
In Poster Session 1
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Outlier-Robust Optimal Transport
In Poster Session 1
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In Poster Session 1
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
In Poster Session 1
Alon Oring · Zohar Yakhini · Yacov Hel-Or
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Random Conjugate Kernel and Neural Tangent Kernel
In Poster Session 1
Zhengmian Hu · Heng Huang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Imitation by Predicting Observations
In Poster Session 1
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
In Poster Session 1
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Poster Session 1
Johannes Kirschner · Andreas Krause
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
In Poster Session 1
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
In Poster Session 1
Vladimir Kolmogorov · Thomas Pock
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
In Poster Session 1
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
In Poster Session 1
Gedas Bertasius · Heng Wang · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
In Poster Session 1
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
In Poster Session 1
Aurick Zhou · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Thinking Like Transformers
In Poster Session 1
Gail Weiss · Yoav Goldberg · Eran Yahav
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Poster Session 1
Tomoya Murata · Taiji Suzuki
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Breaking the Limits of Message Passing Graph Neural Networks
In Poster Session 1
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In Poster Session 1
Zhang Zihan · Yuan Zhou · Xiangyang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Low-Rank Sinkhorn Factorization
In Poster Session 1
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
In Poster Session 1
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
In Poster Session 1
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco Ruiz · Liping Liu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
In Poster Session 1
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
In Poster Session 1
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
In Poster Session 1
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
In Poster Session 1
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
In Poster Session 1
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
In Poster Session 1
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Vector Quantized Models for Planning
In Poster Session 1
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
In Poster Session 1
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
In Poster Session 1
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unifying Vision-and-Language Tasks via Text Generation
In Poster Session 1
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PID Accelerated Value Iteration Algorithm
In Poster Session 1
Amir-massoud Farahmand · Mohammad Ghavamzadeh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Particle Variational Inference via Estimation of Functional Gradients
In Poster Session 1
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
In Poster Session 1
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Adversarial Transformers
In Poster Session 1
Drew A. Hudson · Larry Zitnick
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
In Poster Session 1
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
In Poster Session 1
Christopher Dance · Perez Julien · Théo Cachet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
In Poster Session 1
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical VAEs Know What They Don’t Know
In Poster Session 1
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Riemannian Convex Potential Maps
In Poster Session 1
samuel cohen · Brandon Amos · Yaron Lipman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Deep Learning via Subnetwork Inference
In Poster Session 1
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
In Poster Session 1
Edoardo Cetin · Oya Celiktutan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
In Poster Session 1
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
In Poster Session 1
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Size-Invariant Graph Representations for Graph Classification Extrapolations
In Poster Session 1
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
In Poster Session 1
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fast Projection Onto Convex Smooth Constraints
In Poster Session 1
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
In Poster Session 1
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Symbolic Regression that scales
In Poster Session 1
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
In Poster Session 1
Alexander Nichol · Prafulla Dhariwal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
In Poster Session 1
Johan Obando Ceron · Pablo Samuel Castro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
World Model as a Graph: Learning Latent Landmarks for Planning
In Poster Session 1
Lunjun Zhang · Ge Yang · Bradly Stadie
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
In Poster Session 1
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
In Poster Session 1
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
In Poster Session 1
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Evolving Attention with Residual Convolutions
In Poster Session 1
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Momentum Residual Neural Networks
In Poster Session 1
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
In Poster Session 1
Yuda Song · Wen Sun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
State Entropy Maximization with Random Encoders for Efficient Exploration
In Poster Session 1
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
In Poster Session 1
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
In Poster Session 1
Roei Sarussi · Alon Brutzkus · Amir Globerson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Optimal Complexity in Decentralized Training
In Poster Session 1
Yucheng Lu · Christopher De Sa
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep kernel processes
In Poster Session 1
Laurence Aitchison · Adam Yang · Sebastian Ober
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fundamental Tradeoffs in Distributionally Adversarial Training
In Poster Session 1
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
In Poster Session 1
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributionally Robust Optimization with Markovian Data
In Poster Session 1
Mengmeng Li · Tobias Sutter · Daniel Kuhn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task Informed Abstractions
In Poster Session 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stability Bounds for Spectral Graph Filters
In Poster Session 1
Henry Kenlay · Dorina Thanou · Xiaowen Dong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
In Poster Session 1
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
In Poster Session 1
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
In Poster Session 1
Ran Xin · Usman Khan · Soummya Kar
Session
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Poster Session 1
Town Hall
Tue Jul 20 11:00 AM -- 12:00 PM (PDT)
Town Hall
John Langford · Marina Meila · Tong Zhang · Le Song · Stefanie Jegelka · Csaba Szepesvari
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
In Deep Generative Model 3
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
In Optimization and Algorithms 1
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
In Deep Learning 2
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
In Reinforcement Learning 3
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
In Reinforcement Learning and Planning 3
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
In Deep Learning Algorithms 5
Marc Finzi · Max Welling · Andrew Wilson
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
On the price of explainability for some clustering problems
In Optimization 3
Eduardo Laber · Lucas Murtinho
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
CATE: Computation-aware Neural Architecture Encoding with Transformers
In Deep Learning Algorithms 6
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Robust Asymmetric Learning in POMDPs
In Reinforcement Learning 4
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
In Deep Learning Algorithms 6
Weijian Deng · Stephen Gould · Liang Zheng
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
In Deep Generative Model 3
Akira Nakagawa · Keizo Kato · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
In Deep Learning 2
Shaojie Bai · Vladlen Koltun · Zico Kolter
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Safe Reinforcement Learning with Linear Function Approximation
In Reinforcement Learning and Planning 3
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Instance Specific Approximations for Submodular Maximization
In Optimization 3
Eric Balkanski · Sharon Qian · Yaron Singer
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Re-understanding Finite-State Representations of Recurrent Policy Networks
In Reinforcement Learning 3
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Differentiable Spatial Planning using Transformers
In Reinforcement Learning 4
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
In Optimization and Algorithms 1
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
In Deep Learning Algorithms 5
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Quantization Algorithms for Random Fourier Features
In Optimization and Algorithms 1
Xiaoyun Li · Ping Li
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
In Reinforcement Learning and Planning 3
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
In Optimization 3
András György · Pooria Joulani
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
In Deep Learning Algorithms 5
Florian List
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Towards Domain-Agnostic Contrastive Learning
In Deep Learning Algorithms 6
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
On the Predictability of Pruning Across Scales
In Deep Learning 2
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
In Reinforcement Learning 4
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Soft then Hard: Rethinking the Quantization in Neural Image Compression
In Deep Generative Model 3
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
In Reinforcement Learning 3
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
In Deep Generative Model 3
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
In Deep Learning Algorithms 5
Ming Min · Ruimeng Hu
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
In Reinforcement Learning 3
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
In Deep Learning 2
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
In Deep Learning Algorithms 6
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
In Optimization and Algorithms 1
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Structured Convolutional Kernel Networks for Airline Crew Scheduling
In Optimization 3
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Reinforcement Learning and Planning 3
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
In Reinforcement Learning 4
Yiming Zhang · Keith Ross
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
In Deep Generative Model 3
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
In Reinforcement Learning 3
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
In Reinforcement Learning 4
Shagun Sodhani · Amy Zhang · Joelle Pineau
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Reinforcement Learning and Planning 3
Elad Sarafian · Shai Keynan · Sarit Kraus
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
In Deep Learning Algorithms 6
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
In Deep Learning 2
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Online Graph Dictionary Learning
In Optimization 3
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Equivariant message passing for the prediction of tensorial properties and molecular spectra
In Deep Learning Algorithms 5
Kristof T Schütt · Oliver Unke · Michael Gastegger
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Optimization and Algorithms 1
Fabien Collas · Ekhine IRUROZKI
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Stochastic Iterative Graph Matching
In Optimization 3
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
In Reinforcement Learning and Planning 3
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
In Deep Learning 2
Ilan Price · Jared Tanner
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
In Optimization and Algorithms 1
Don Kurian Dennis · Tian Li · Virginia Smith
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
High Confidence Generalization for Reinforcement Learning
In Reinforcement Learning 4
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
In Deep Learning Algorithms 5
Denis Lukovnikov · Asja Fischer
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
In Deep Learning Algorithms 6
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
In Reinforcement Learning 3
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Partially Observed Exchangeable Modeling
In Deep Generative Model 3
Yang Li · Junier Oliva
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
In Reinforcement Learning and Planning 3
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
In Reinforcement Learning 3
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
In Deep Generative Model 3
Lily Zhang · Mark Goldstein · Rajesh Ranganath
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
In Optimization 3
Burak Bartan · Mert Pilanci
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Learning Neural Network Subspaces
In Deep Learning 2
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
In Optimization and Algorithms 1
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
In Reinforcement Learning 4
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
LARNet: Lie Algebra Residual Network for Face Recognition
In Deep Learning Algorithms 5
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Poolingformer: Long Document Modeling with Pooling Attention
In Deep Learning Algorithms 6
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
[ Paper ]
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning 3
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Generative Model 3
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning 2
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Algorithms 6
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Optimization 3
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Optimization and Algorithms 1
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning 4
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning and Planning 3
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Algorithms 5
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
In Optimization (Stochastic)
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Generating images with sparse representations
In Deep Generative Model 4
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Emergence of Individuality
In Reinforcement Learning 5
Jiechuan Jiang · Zongqing Lu
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Reinforcement Learning 6
Roberta Raileanu · Rob Fergus
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
A Wasserstein Minimax Framework for Mixed Linear Regression
In Algorithms 1
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Network Inference and Influence Maximization from Samples
In Optimization and Algorithms 2
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
In Reinforcement Learning 7
Kimin Lee · Laura Smith · Pieter Abbeel
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
In Deep Learning Algorithms and Applications
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Tue Jul 20 06:00 PM -- 06:05 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
In AutoML
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
[ Paper ]
Spotlight
Tue Jul 20 06:05 PM -- 06:10 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
In AutoML
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
[ Paper ]
Spotlight
Tue Jul 20 06:10 PM -- 06:15 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
In AutoML
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
[ Paper ]
Oral
Tue Jul 20 06:15 PM -- 06:35 PM (PDT)
Few-Shot Neural Architecture Search
In AutoML
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
In Reinforcement Learning 5
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Prioritized Level Replay
In Reinforcement Learning 6
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
The Heavy-Tail Phenomenon in SGD
In Optimization (Stochastic)
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
In Reinforcement Learning 7
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
In Deep Learning Algorithms and Applications
Mingxing Tan · Quoc Le
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
In Deep Generative Model 4
Graziano Mita · Maurizio Filippone · Pietro Michiardi
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
In Algorithms 1
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Regularized Submodular Maximization at Scale
In Optimization and Algorithms 2
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
In Reinforcement Learning 5
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Keyframe-Focused Visual Imitation Learning
In Reinforcement Learning 7
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
In Deep Generative Model 4
Tomoki Watanabe · Paolo Favaro
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Federated Composite Optimization
In Optimization (Stochastic)
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
In Deep Learning Algorithms and Applications
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
In Optimization and Algorithms 2
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
In Reinforcement Learning 6
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
In Algorithms 1
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
In Optimization and Algorithms 2
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Estimation in Latent Variable Models
In Optimization (Stochastic)
Guanhua Fang · Ping Li
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
GMAC: A Distributional Perspective on Actor-Critic Framework
In Reinforcement Learning 6
Daniel Nam · Younghoon Kim · Chan Youn Park
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
In Deep Learning Algorithms and Applications
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Reinforcement Learning 5
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Characterizing GAN Convergence Through Proximal Duality Gap
In Deep Generative Model 4
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning and Planning in Average-Reward Markov Decision Processes
In Reinforcement Learning 7
Yi Wan · Abhishek Naik · Richard Sutton
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
In Algorithms 1
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
In Deep Learning Algorithms and Applications
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
In Reinforcement Learning 7
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
In Optimization (Stochastic)
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Reinforcement Learning 5
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
In Algorithms 1
Minhui Huang · Shiqian Ma · Lifeng Lai
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Reinforcement Learning 6
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
AutoAttend: Automated Attention Representation Search
In AutoML
Chaoyu Guan · Xin Wang · Wenwu Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Light RUMs
In Optimization and Algorithms 2
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
In Deep Generative Model 4
Marin Biloš · Stephan Günnemann
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
In Optimization and Algorithms 2
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
In Optimization (Stochastic)
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Information Obfuscation of Graph Neural Networks
In Deep Learning Algorithms and Applications
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
In AutoML
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
In Reinforcement Learning 6
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
In Reinforcement Learning 7
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
In Deep Generative Model 4
Vivek Jayaram · John Thickstun
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
In Reinforcement Learning 5
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
In Algorithms 1
Zixin Zhong · Wang Chi Cheung · Vincent Tan
[ Paper ]
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
In Deep Learning Algorithms and Applications
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning 5
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
In AutoML
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
BASGD: Buffered Asynchronous SGD for Byzantine Learning
In Optimization (Stochastic)
Yi-Rui Yang · Wu-Jun Li
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
In Algorithms 1
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Zero-Shot Text-to-Image Generation
In Deep Generative Model 4
Aditya Ramesh · Mikhail Pavlov · Gabriel Goh · Scott Gray · Chelsea Voss · Alec Radford · Mark Chen · Ilya Sutskever
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
In Optimization and Algorithms 2
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
In Reinforcement Learning 7
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Reinforcement Learning 6
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
[ Paper ]
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Deep Generative Model 4
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Algorithms 1
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Reinforcement Learning 6
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Reinforcement Learning 7
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Optimization (Stochastic)
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In AutoML
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Optimization and Algorithms 2
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
In Reinforcement Learning 8
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
In Optimization 4
Bahar Taskesen · Man-Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
AlphaNet: Improved Training of Supernets with Alpha-Divergence
In AutoML and Neural Network Architectures 2
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
In Deep Reinforcement Learning 3
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Just Train Twice: Improving Group Robustness without Training Group Information
In Deep Learning Algorithms 8
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
In Large Scale Optimization
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
In Deep Learning Algorithms 7
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
In Optimization (Convex) 2
TaeHo Yoon · Ernest Ryu
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Hyperparameter Selection for Imitation Learning
In Reinforcement Learning 9
Léonard Hussenot · Marcin Andrychowicz · Damien Vincent · Robert Dadashi · Anton Raichuk · Sabela Ramos · Nikola Momchev · Sertan Girgin · Raphael Marinier · Lukasz Stafiniak · Emmanuel Orsini · Olivier Bachem · Matthieu Geist · Olivier Pietquin
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
In Large Scale Optimization
Jyotikrishna Dass · Rabi Mahapatra
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
What Makes for End-to-End Object Detection?
In Deep Learning Algorithms 7
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
In Reinforcement Learning 9
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
In Optimization (Convex) 2
Foivos Alimisis · Peter Davies · Dan Alistarh
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
In Deep Reinforcement Learning 3
Scott Fujimoto · David Meger · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
In AutoML and Neural Network Architectures 2
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
In Optimization 4
Zhao Song · Zheng Yu
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
In Reinforcement Learning 8
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
In Deep Learning Algorithms 8
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Bayesian Optimization over Hybrid Spaces
In Optimization 4
Aryan Deshwal · Syrine Belakaria · Jana Doppa
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Learning to Weight Imperfect Demonstrations
In Deep Reinforcement Learning 3
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
In AutoML and Neural Network Architectures 2
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
In Deep Learning Algorithms 8
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
In Reinforcement Learning 8
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
In Optimization (Convex) 2
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
In Large Scale Optimization
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
In Reinforcement Learning 9
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
In Deep Learning Algorithms 7
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
In Deep Learning Algorithms 8
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
In Deep Reinforcement Learning 3
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Taylor Expansion of Discount Factors
In Reinforcement Learning 9
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
In Optimization (Convex) 2
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
In Optimization 4
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
In Reinforcement Learning 8
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Explore Visual Concept Formation for Image Classification
In AutoML and Neural Network Architectures 2
Shengzhou Xiong · Yihua Tan · Guoyou Wang
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Training Graph Neural Networks with 1000 Layers
In Large Scale Optimization
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
In Deep Learning Algorithms 7
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Data Augmentation for Meta-Learning
In Deep Learning Algorithms 7
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In AutoML and Neural Network Architectures 2
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Neural Rough Differential Equations for Long Time Series
In Deep Learning Algorithms 8
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
In Deep Reinforcement Learning 3
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Is Pessimism Provably Efficient for Offline RL?
In Reinforcement Learning 8
Ying Jin · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Moreau-Yosida $f$-divergences
In Optimization (Convex) 2
Dávid Terjék
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
In Large Scale Optimization
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Generalizable Episodic Memory for Deep Reinforcement Learning
In Reinforcement Learning 9
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Compositional Video Synthesis with Action Graphs
In Optimization 4
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
In Optimization (Convex) 2
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Representation Matters: Offline Pretraining for Sequential Decision Making
In Reinforcement Learning 9
Mengjiao Yang · Ofir Nachum
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
In AutoML and Neural Network Architectures 2
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
In Deep Learning Algorithms 8
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Neural Pharmacodynamic State Space Modeling
In Optimization 4
Zeshan Hussain · Rahul G. Krishnan · David Sontag
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
In Deep Learning Algorithms 7
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
In Large Scale Optimization
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
In Reinforcement Learning 8
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
In Deep Reinforcement Learning 3
Rutav Shah · Vikash Kumar
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
In Optimization 4
Alp Yurtsever · Varun Mangalick · Suvrit Sra
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
In Deep Learning Algorithms 8
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
In Deep Reinforcement Learning 3
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Density Constrained Reinforcement Learning
In Reinforcement Learning 8
Zengyi Qin · Yuxiao Chen · Chuchu Fan
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Neural Symbolic Regression that scales
In Deep Learning Algorithms 7
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
On a Combination of Alternating Minimization and Nesterov's Momentum
In Optimization (Convex) 2
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Lipschitz normalization for self-attention layers with application to graph neural networks
In AutoML and Neural Network Architectures 2
George Dasoulas · Kevin Scaman · Aladin Virmaux
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
In Large Scale Optimization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Reinforcement Learning Under Moral Uncertainty
In Reinforcement Learning 9
Adrien Ecoffet · Joel Lehman
[ Paper ]
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Optimization (Convex) 2
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Learning Algorithms 7
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Reinforcement Learning 9
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Optimization 4
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In AutoML and Neural Network Architectures 2
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Reinforcement Learning 8
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Large Scale Optimization
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Learning Algorithms 8
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Reinforcement Learning 3
Invited Talk
Tue Jul 20 08:00 PM -- 09:00 PM (PDT)
Cryospheric Science and Emergence of Machine Learning
Xiao Cunde · Qin Dahe
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
In Poster Session 2
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
In Poster Session 2
Guanhua Fang · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
In Poster Session 2
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
In Poster Session 2
Zhao Song · Zheng Yu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
In Poster Session 2
Ilan Price · Jared Tanner
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
In Poster Session 2
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
In Poster Session 2
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In Poster Session 2
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
In Poster Session 2
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
In Poster Session 2
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
In Poster Session 2
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
In Poster Session 2
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
In Poster Session 2
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
In Poster Session 2
Vivek Jayaram · John Thickstun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
In Poster Session 2
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
In Poster Session 2
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
In Poster Session 2
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
In Poster Session 2
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
In Poster Session 2
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
In Poster Session 2
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
In Poster Session 2
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
In Poster Session 2
TaeHo Yoon · Ernest Ryu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
In Poster Session 2
Bahar Taskesen · Man-Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
In Poster Session 2
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
In Poster Session 2
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
In Poster Session 2
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High Confidence Generalization for Reinforcement Learning
In Poster Session 2
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
In Poster Session 2
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
In Poster Session 2
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
In Poster Session 2
Tomoki Watanabe · Paolo Favaro
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
In Poster Session 2
Denis Lukovnikov · Asja Fischer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
In Poster Session 2
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
In Poster Session 2
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
In Poster Session 2
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
In Poster Session 2
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
In Poster Session 2
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
In Poster Session 2
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
In Poster Session 2
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
In Poster Session 2
Adrien Ecoffet · Joel Lehman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
In Poster Session 2
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
In Poster Session 2
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
In Poster Session 2
Shagun Sodhani · Amy Zhang · Joelle Pineau
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
In Poster Session 2
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
In Poster Session 2
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
BASGD: Buffered Asynchronous SGD for Byzantine Learning
In Poster Session 2
Yi-Rui Yang · Wu-Jun Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
In Poster Session 2
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
In Poster Session 2
Yi Wan · Abhishek Naik · Richard Sutton
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
In Poster Session 2
Marc Finzi · Max Welling · Andrew Wilson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
In Poster Session 2
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stochastic Iterative Graph Matching
In Poster Session 2
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
In Poster Session 2
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
In Poster Session 2
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
In Poster Session 2
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
In Poster Session 2
Eric Balkanski · Sharon Qian · Yaron Singer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
In Poster Session 2
Florian List
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
In Poster Session 2
Mingxing Tan · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
In Poster Session 2
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Moreau-Yosida $f$-divergences
In Poster Session 2
Dávid Terjék
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
In Poster Session 2
Ying Jin · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Poster Session 2
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
In Poster Session 2
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
In Poster Session 2
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
In Poster Session 2
Ming Min · Ruimeng Hu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
In Poster Session 2
George Dasoulas · Kevin Scaman · Aladin Virmaux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
In Poster Session 2
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
In Poster Session 2
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
In Poster Session 2
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
In Poster Session 2
Scott Fujimoto · David Meger · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
In Poster Session 2
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
In Poster Session 2
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
In Poster Session 2
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Poster Session 2
Fabien Collas · Ekhine IRUROZKI
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
In Poster Session 2
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
In Poster Session 2
Jiechuan Jiang · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
In Poster Session 2
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
In Poster Session 2
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant message passing for the prediction of tensorial properties and molecular spectra
In Poster Session 2
Kristof T Schütt · Oliver Unke · Michael Gastegger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
In Poster Session 2
Kimin Lee · Laura Smith · Pieter Abbeel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
In Poster Session 2
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
In Poster Session 2
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
In Poster Session 2
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
In Poster Session 2
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
In Poster Session 2
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
In Poster Session 2
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
In Poster Session 2
Burak Bartan · Mert Pilanci
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
In Poster Session 2
Aryan Deshwal · Syrine Belakaria · Jana Doppa
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
In Poster Session 2
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Poster Session 2
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
In Poster Session 2
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
In Poster Session 2
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
In Poster Session 2
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
In Poster Session 2
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generating images with sparse representations
In Poster Session 2
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
In Poster Session 2
Eduardo Laber · Lucas Murtinho
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
In Poster Session 2
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
In Poster Session 2
Rutav Shah · Vikash Kumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
In Poster Session 2
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
In Poster Session 2
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
In Poster Session 2
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
In Poster Session 2
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
In Poster Session 2
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
In Poster Session 2
Akira Nakagawa · Keizo Kato · Taiji Suzuki
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
In Poster Session 2
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
In Poster Session 2
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
In Poster Session 2
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
In Poster Session 2
Marin Biloš · Stephan Günnemann
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
In Poster Session 2
Daniel Nam · Younghoon Kim · Chan Youn Park
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
In Poster Session 2
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Network Inference and Influence Maximization from Samples
In Poster Session 2
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
In Poster Session 2
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
In Poster Session 2
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
In Poster Session 2
Weijian Deng · Stephen Gould · Liang Zheng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
In Poster Session 2
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
What Makes for End-to-End Object Detection?
In Poster Session 2
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Submodular Maximization at Scale
In Poster Session 2
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
In Poster Session 2
Don Kurian Dennis · Tian Li · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
In Poster Session 2
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
In Poster Session 2
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
In Poster Session 2
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
In Poster Session 2
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
In Poster Session 2
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
In Poster Session 2
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
In Poster Session 2
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
In Poster Session 2
Chaoyu Guan · Xin Wang · Wenwu Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
In Poster Session 2
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
In Poster Session 2
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
In Poster Session 2
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
In Poster Session 2
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
In Poster Session 2
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
In Poster Session 2
Yang Li · Junier Oliva
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
In Poster Session 2
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
In Poster Session 2
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
In Poster Session 2
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
In Poster Session 2
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
In Poster Session 2
Foivos Alimisis · Peter Davies · Dan Alistarh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Representation Matters: Offline Pretraining for Sequential Decision Making
In Poster Session 2
Mengjiao Yang · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
In Poster Session 2
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
In Poster Session 2
Jyotikrishna Dass · Rabi Mahapatra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
In Poster Session 2
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
In Poster Session 2
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
In Poster Session 2
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Poster Session 2
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Poster Session 2
Elad Sarafian · Shai Keynan · Sarit Kraus
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
In Poster Session 2
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Poster Session 2
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
In Poster Session 2
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
In Poster Session 2
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
In Poster Session 2
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
In Poster Session 2
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Explore Visual Concept Formation for Image Classification
In Poster Session 2
Shengzhou Xiong · Yihua Tan · Guoyou Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
In Poster Session 2
Yiming Zhang · Keith Ross
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
In Poster Session 2
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
In Poster Session 2
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
In Poster Session 2
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
In Poster Session 2
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
In Poster Session 2
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
In Poster Session 2
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
In Poster Session 2
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
In Poster Session 2
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
In Poster Session 2
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
In Poster Session 2
Graziano Mita · Maurizio Filippone · Pietro Michiardi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
In Poster Session 2
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
In Poster Session 2
Alp Yurtsever · Varun Mangalick · Suvrit Sra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
In Poster Session 2
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
In Poster Session 2
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Poster Session 2
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
In Poster Session 2
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
In Poster Session 2
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
In Poster Session 2
Xiaoyun Li · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
In Poster Session 2
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
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