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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 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 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)
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)
Deep Isometric Learning for Visual Recognition
Haozhi Qi · Chong You · Xiaolong Wang · Yi Ma · Jitendra Malik
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)
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)
A simpler approach to accelerated optimization: iterative averaging meets optimism
Pooria Joulani · Anant Raj · Andras Gyorgy · Csaba Szepesvari
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)
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 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 11:00 PM -- 11:45 PM (PDT) @ Virtual
How recurrent networks implement contextual processing in sentiment analysis
Niru Maheswaranathan · David Sussillo
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) @ Virtual
On Learning Sets of Symmetric Elements
Haggai Maron · Or Litany · Gal Chechik · Ethan Fetaya
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
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Online metric algorithms with untrusted predictions
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos · Alexander Trott · Caiming Xiong · Richard Socher · Xavier Giro-i-Nieto · Jordi Torres
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt · Maximilian Granz · Tim Landgraf
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Robustness for Code
Pavol Bielik · Martin Vechev
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Bayesian Sparsification of Deep C-valued Networks
Ivan Nazarov · Evgeny Burnaev
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Yao Liu · Pierre-Luc Bacon · Emma Brunskill
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany · Kira Radinsky · Daniel Freedman
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Word-Level Speech Recognition With a Letter to Word Encoder
Ronan Collobert · Awni Hannun · Gabriel Synnaeve
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning Portable Representations for High-Level Planning
Steven James · Benjamin Rosman · George Konidaris
Poster
Tue Jul 14 12:00 PM -- 12:45 PM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Learning disconnected manifolds: a no GAN's land
Ugo Tanielian · Thibaut Issenhuth · Elvis Dohmatob · Jeremie Mary