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20 Results

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Poster
Thu 1:00 AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha
Poster
Wed 9:00 Neural Networks for Learning Counterfactual G-Invariances from Single Environments
S Chandra Mouli · Bruno Ribeiro
Oral
Wed 11:30 Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang · Rowan T McAllister · Roberto Calandra · Yarin Gal · Sergey Levine
Poster
Tue 9:00 Representation Learning via Invariant Causal Mechanisms
Jovana Mitrovic · Brian McWilliams · Jacob C Walker · Lars Buesing · Charles Blundell
Poster
Mon 1:00 Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie · Naoki Morita · Toshiaki Hishinuma · Yu Ihara · Naoto Mitsume
Poster
Mon 9:00 On the Universality of Rotation Equivariant Point Cloud Networks
Nadav Dym · Haggai Maron
Spotlight
Tue 3:35 Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian · marc lelarge
Poster
Mon 9:00 Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang · Rowan T McAllister · Roberto Calandra · Yarin Gal · Sergey Levine
Poster
Tue 1:00 Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster · Rattana Pukdee · Tom Rainforth
Poster
Mon 17:00 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
Mikhail Yurochkin · Yuekai Sun
Poster
Mon 9:00 The Risks of Invariant Risk Minimization
Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski
Poster
Mon 9:00 Learning explanations that are hard to vary
Giambattista Parascandolo · Alexander Neitz · Antonio Orvieto · Luigi Gresele · Bernhard Schoelkopf