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Invited Talk
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Thu 16:00 |
Self-Supervision for Learning from the Bottom Up Alexei Efros |
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Workshop
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Fri 6:00 |
Invited Talk Live: The energy-based view of self-supervised learning |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon |
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Poster
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Thu 9:00 |
A Critique of Self-Expressive Deep Subspace Clustering Benjamin Haeffele · Chong You · Rene Vidal |
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Poster
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Tue 1:00 |
Generalized Multimodal ELBO Thomas Sutter · Imant Daunhawer · Julia E Vogt |
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Oral
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Thu 13:15 |
Self-training For Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo · Bharath Hariharan |
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Poster
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Mon 17:00 |
Self-training For Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo · Bharath Hariharan |
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Poster
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Tue 1:00 |
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Tsung Wei Tsai · Chongxuan Li · Jun Zhu |
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Poster
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Mon 9:00 |
What Should Not Be Contrastive in Contrastive Learning Tete Xiao · Xiaolong Wang · Alexei Efros · trevor darrell |
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Spotlight
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Wed 5:25 |
Tent: Fully Test-Time Adaptation by Entropy Minimization Dequan Wang · Evan Shelhamer · Shaoteng Liu · Bruno Olshausen · trevor darrell |
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Poster
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Wed 9:00 |
For self-supervised learning, Rationality implies generalization, provably Yamini Bansal · Gal Kaplun · Boaz Barak |
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Poster
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Thu 17:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |