ICLR 2023 Schedule

(8 events) Timezone:

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In-Person Oral presentation / top 25% paper

Tue May 02 06:00 AM -- 06:10 AM (PDT) @ Auditorium None

CUDA: Curriculum of Data Augmentation for Long-tailed Recognition

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Sumyeong Ahn · Jongwoo Ko · Se-Young Yun

In-Person Oral presentation / top 25% paper

Tue May 02 06:10 AM -- 06:20 AM (PDT) @ Auditorium None

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Shutong Wu · Sizhe Chen · Cihang Xie · Xiaolin Huang

In-Person Oral presentation / top 25% paper

Tue May 02 06:20 AM -- 06:30 AM (PDT) @ Auditorium None

Learning Label Encodings for Deep Regression

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Deval Shah · Tor Aamodt

In-Person Oral presentation / top 25% paper

Tue May 02 06:30 AM -- 06:40 AM (PDT) @ Auditorium None

Multifactor Sequential Disentanglement via Structured Koopman Autoencoders

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Nimrod Berman · Ilan Naiman · Omri Azencot

In-Person Oral presentation / top 25% paper

Tue May 02 06:40 AM -- 06:50 AM (PDT) @ Auditorium None

A Unified Algebraic Perspective on Lipschitz Neural Networks

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Alexandre Araujo · Aaron Havens · Blaise Delattre · Alexandre Allauzen · Bin Hu

In-Person Oral presentation / top 5% paper

Tue May 02 06:50 AM -- 07:00 AM (PDT) @ Auditorium None

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Zichen Jeff Cui · Yibin Wang · Nur Muhammad Shafiullah · Lerrel Pinto

In-Person Oral presentation / top 5% paper

Tue May 02 07:00 AM -- 07:10 AM (PDT) @ Auditorium None

Git Re-Basin: Merging Models modulo Permutation Symmetries

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Samuel Ainsworth · Jonathan Hayase · Siddhartha Srinivasa

In-Person Oral presentation / top 5% paper

Tue May 02 07:10 AM -- 07:20 AM (PDT) @ Auditorium None

In-context Reinforcement Learning with Algorithm Distillation

In Oral 4 Track 6: Deep Learning and representational learning- Reinforcement Learning

Michael Laskin · Luyu Wang · Junhyuk Oh · Emilio Parisotto · Stephen Spencer · Richie Steigerwald · DJ Strouse · Steven Hansen · Angelos Filos · Ethan Brooks · Maxime Gazeau · Himanshu Sahni · Satinder Singh · Volodymyr Mnih