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Oral
Wed Jul 26 07:00 PM -- 07:08 PM (PDT) @ Ballroom B None
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
Quentin Garrido · Randall Balestriero · Laurent Najman · Yann LeCun
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Oral
Wed Jul 26 07:08 PM -- 07:16 PM (PDT) @ Ballroom B None
Evaluating Self-Supervised Learning via Risk Decomposition
Yann Dubois · Tatsunori Hashimoto · Percy Liang
[ Slides [ PDF
Oral
Wed Jul 26 07:16 PM -- 07:24 PM (PDT) @ Ballroom B None
BEATs: Audio Pre-Training with Acoustic Tokenizers
Sanyuan Chen · Yu Wu · Chengyi Wang · Shujie Liu · Daniel Tompkins · Zhuo Chen · Wanxiang Che · Xiangzhan Yu · Furu Wei
[ Slides [ PDF
Oral
Wed Jul 26 07:24 PM -- 07:32 PM (PDT) @ Ballroom B None
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Alexei Baevski · Arun Babu · Wei-Ning Hsu · Michael Auli
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Oral
Wed Jul 26 07:32 PM -- 07:40 PM (PDT) @ Ballroom B None
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
Lin-Han Jia · Lan-Zhe Guo · Zhi Zhou · Jie-Jing Shao · Yuke Xiang · Yu-Feng Li
[ Slides [ PDF
Oral
Wed Jul 26 07:40 PM -- 07:48 PM (PDT) @ Ballroom B None
TRAK: Attributing Model Behavior at Scale
Sung Min (Sam) Park · Kristian Georgiev · Andrew Ilyas · Guillaume Leclerc · Aleksander Madry
[ Slides [ PDF
Oral
Wed Jul 26 07:48 PM -- 07:56 PM (PDT) @ Ballroom B None
Understanding Plasticity in Neural Networks
Clare Lyle · Zeyu Zheng · Evgenii Nikishin · Bernardo Avila Pires · Razvan Pascanu · Will Dabney
[ PDF
Oral
Wed Jul 26 07:56 PM -- 08:04 PM (PDT) @ Ballroom B None
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
Aleksandr Shevchenko · Kevin Kögler · Hamed Hassani · Marco Mondelli
[ PDF
Oral
Wed Jul 26 08:04 PM -- 08:12 PM (PDT) @ Ballroom B None
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
Yishay Mansour · Richard Nock · Robert C. Williamson
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Oral
Wed Jul 26 08:12 PM -- 08:20 PM (PDT) @ Ballroom B None
Brauer's Group Equivariant Neural Networks
Edward Pearce-Crump
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