ICML 2021 Schedule

Oral

Fri Jul 23 11:00 AM -- 11:20 AM (KST)

Learning Transferable Visual Models From Natural Language Supervision

Alec Radford · Jong Wook Kim · Chris Hallacy · Aditya Ramesh · Gabriel Goh · Sandhini Agarwal · Girish Sastry · Amanda Askell · Pamela Mishkin · Jack Clark · Gretchen Krueger · Ilya Sutskever

[ Paper ]

Spotlight

Fri Jul 23 11:20 AM -- 11:25 AM (KST)

Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination

In Multi-modal and Meta Learning

Wenbo Zheng · Lan Yan · Chao Gou · Fei-Yue Wang

[ Paper ]

Spotlight

Fri Jul 23 11:25 AM -- 11:30 AM (KST)

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning

In Multi-modal and Meta Learning

Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu

[ Paper ]

Spotlight

Fri Jul 23 11:30 AM -- 11:35 AM (KST)

Meta-Learning Bidirectional Update Rules

In Multi-modal and Meta Learning

Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas

[ Paper ]

Spotlight

Fri Jul 23 11:35 AM -- 11:40 AM (KST)

Function Contrastive Learning of Transferable Meta-Representations

In Multi-modal and Meta Learning

Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf

[ Paper ]

Spotlight

Fri Jul 23 11:40 AM -- 11:45 AM (KST)

A Discriminative Technique for Multiple-Source Adaptation

In Multi-modal and Meta Learning

Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh · Ningshan Zhang

[ Paper ]

Spotlight

Fri Jul 23 11:45 AM -- 11:50 AM (KST)

Debiasing Model Updates for Improving Personalized Federated Training

In Multi-modal and Meta Learning

Durmus Alp Emre Acar · Yue Zhao · Ruizhao Zhu · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama

[ Paper ]

Q&A

Fri Jul 23 11:50 AM -- 11:55 AM (KST)

Q&A

In Multi-modal and Meta Learning