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Poster
Mon 9:00 InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Boxin Wang · Shuohang Wang · Yu Cheng · Zhe Gan · Ruoxi Jia · Bo Li · Jingjing Liu
Poster
Mon 9:00 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Yong Liu · Jiankun Liu · Shuqiang Wang
Poster
Mon 17:00 Variational Intrinsic Control Revisited
Taehwan Kwon
Poster
Tue 9:00 Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin · Mark Gales
Poster
Tue 17:00 A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
Poster
Wed 1:00 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Rame · MATTHIEU CORD
Poster
Wed 17:00 Task-Agnostic Morphology Evolution
Donald Hejna III · Pieter Abbeel · Lerrel Pinto
Poster
Wed 17:00 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang
Poster
Wed 17:00 Estimating informativeness of samples with Smooth Unique Information
Hrayr Harutyunyan · Alessandro Achille · Giovanni Paolini · Orchid Majumder · Avinash Ravichandran · Rahul Bhotika · Stefano Soatto
Workshop
Fri 3:30 Neural Compression: From Information Theory to Applications
Stephan Mandt · Robert Bamler · Yingzhen Li · Christopher Schroers · Yang Yang · Max Welling · Taco Cohen