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The 2020 schedule is still incomplete
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Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer · Olivier Bachem · Neil Houlsby · Michael Tschannen
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Marie-Liesse Cauwet · Camille Couprie · Julien Dehos · Pauline Luc · Jeremy Rapin · Morgane Riviere · Fabien Teytaud · Olivier Teytaud · Nicolas Usunier
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Revisiting Spatial Invariance with Low-Rank Local Connectivity
Gamaleldin Elsayed · Prajit Ramachandran · Jon Shlens · Simon Kornblith
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain · Alon Orlitsky
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Tong Yu · Branislav Kveton · Zheng Wen · Ruiyi Zhang · Ole J. Mengshoel
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generative Pretraining From Pixels
Mark Chen · Alec Radford · Rewon Child · Jeffrey K Wu · Heewoo Jun · David Luan · Ilya Sutskever
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Incremental Sampling Without Replacement for Sequence Models
Kensen Shi · David Bieber · Charles Sutton
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes · Alessandro Rudi · Francis Bach
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explainable k-Means and k-Medians Clustering
Michal Moshkovitz · Sanjoy Dasgupta · Cyrus Rashtchian · Nave Frost
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
Yiding Feng · Ekaterina Khmelnitskaya · Denis Nekipelov
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan · David Sussillo
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Junjie Hu · Sebastian Ruder · Aditya Siddhant · Graham Neubig · Orhan Firat · Melvin Johnson
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
On the Theoretical Properties of the Network Jackknife
Qiaohui Lin · Robert Lunde · Purnamrita Sarkar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems
Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein · Aaditya Ramdas
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Topological Autoencoders
Michael Moor · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Learning To Stop While Learning To Predict
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Zhuohan Li · Eric Wallace · Sheng Shen · Kevin Lin · Kurt Keutzer · Dan Klein · Joseph Gonzalez
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj Umesh Saunshi · Yi Zhang · Mikhail Khodak · Sanjeev Arora
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu · Xiaohan Wei · Zhuoran Yang
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Federated Learning with Only Positive Labels
Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Selective Dyna-style Planning Under Limited Model Capacity
Zaheer Abbas · Samuel Sokota · Erin Talvitie · Martha White
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Yuxuan Xie · Jilles Dibangoye · Olivier Buffet
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Zhaohan Guo · Bernardo Avila Pires · Bilal Piot · Jean-Bastien Grill · Florent Altché · Remi Munos · Mohammad Gheshlaghi Azar
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Logarithmic Regret for Adversarial Online Control
Dylan Foster · Max Simchowitz
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
When are Non-Parametric Methods Robust?
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
A simpler approach to accelerated optimization: iterative averaging meets optimism
Pooria Joulani · Anant Raj · András György · Csaba Szepesvari
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
On Learning Sets of Symmetric Elements
Haggai Maron · Or Litany · Gal Chechik · Ethan Fetaya
[ Slides
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Error Estimation for Sketched SVD via the Bootstrap
Miles Lopes · N. Benjamin Erichson · Michael Mahoney
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Harmonic Decompositions of Convolutional Networks
Meyer Scetbon · Zaid Harchaoui
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Deep Isometric Learning for Visual Recognition
Haozhi Qi · Chong You · Xiaolong Wang · Yi Ma · Jitendra Malik