|
Workshop
|
|
Diversified Multiscale Graph Learning with Graph Self-Correction
Yuzhao Chen · Yatao Bian · Jiying Zhang · Xi Xiao · Tingyang Xu · Yu Rong
|
|
|
Poster
|
Thu 18:30
|
Self-Joint Supervised Learning
Navid Kardan · Mubarak Shah · Mitchell Hill
|
|
|
Workshop
|
Fri 10:15
|
How Robustness Transfers from Self-Supervised Representation Learning to Downstream Tasks
Laura F. Nern
|
|
|
Poster
|
Thu 2:30
|
Prototypical Contrastive Predictive Coding
Kyungmin Lee
|
|
|
Workshop
|
|
Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems
Shyam Sudhakaran · Elias Najarro · Sebastian Risi
|
|
|
Poster
|
Tue 2:30
|
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang · Yonggang Wen · Shuai Zhang
|
|
|
Workshop
|
|
Towards self-supervised learning of global and object-centric representations
Federico Baldassarre · Hossein Azizpour
|
|
|
Poster
|
Mon 18:30
|
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting
Ryo Karakida · Shotaro Akaho
|
|
|
Spotlight
|
Mon 18:30
|
Self-Supervision Enhanced Feature Selection with Correlated Gates
Changhee Lee · Fergus Imrie · Mihaela van der Schaar
|
|
|
Workshop
|
|
Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Zoltán Lőrincz · Márton Szemenyei · Robert Moni
|
|
|
Spotlight
|
Mon 10:30
|
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua
|
|
|
Poster
|
Mon 18:30
|
The Close Relationship Between Contrastive Learning and Meta-Learning
Renkun Ni · Manli Shu · Hossein Souri · Micah Goldblum · Tom Goldstein
|
|
