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Poster
Mon 1:00 Temporally-Extended ε-Greedy Exploration
Will Dabney · Georg Ostrovski · Andre Barreto
Poster
Mon 1:00 Implicit Normalizing Flows
Cheng Lu · Jianfei Chen · Chongxuan Li · Qiuhao Wang · Jun Zhu
Poster
Mon 9:00 Rapid Task-Solving in Novel Environments
Samuel Ritter · Ryan Faulkner · Laurent Sartran · Adam Santoro · Matthew Botvinick · David Raposo
Poster
Mon 9:00 On the role of planning in model-based deep reinforcement learning
Jessica Hamrick · Abram Friesen · Feryal Behbahani · Arthur Guez · Fabio Viola · Sims Witherspoon · Thomas Anthony · Lars Buesing · Petar Veličković · Theophane Weber
Poster
Mon 9:00 The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Poster
Mon 9:00 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke · Irina Higgins · Nina Thigpen · Vladimir Miskovic · Katie Link · Sunny Duan · Pramod Gupta · Julia Klawohn · Greg Hajcak
Poster
Mon 9:00 Learning-based Support Estimation in Sublinear Time
Talya Eden · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner
Spotlight
Mon 12:55 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Poster
Mon 17:00 Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
Poster
Mon 17:00 Random Feature Attention
Hao Peng · Nikolaos Pappas · Dani Yogatama · Roy Schwartz · Noah Smith · Lingpeng Kong
Poster
Tue 1:00 Refining Deep Generative Models via Discriminator Gradient Flow
Abdul Fatir Ansari · Ming Liang Ang · Harold Soh
Poster
Tue 1:00 Practical Real Time Recurrent Learning with a Sparse Approximation
Jacob Menick · Erich Elsen · Utku Evci · Simon Osindero · Karen Simonyan · Alex Graves