firstbacksecondback
20 Results
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 |