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48 Results
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Poster
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On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. Jianhong Bai · Zuozhu Liu · Hualiang Wang · Jin Hao · YANG FENG · Huanpeng Chu · Haoji Hu |
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Poster
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Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang · Xiaobo Xia · Li Shen · Bo Han · Mingming Gong · Chen Gong · Tongliang Liu |
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Poster
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Wed 2:30 |
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang · Junjie Ye · Feng Liu · Quanyu Dai · Marcus Kalander · Tongliang Liu · Jianye HAO · Bo Han |
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Poster
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Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai · Chen Dan · Zico Kolter · Pradeep K Ravikumar |
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Poster
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Sequential Gradient Coding For Straggler Mitigation Nikhil Krishnan Muralee Krishnan · MohammadReza Ebrahimi · Ashish Khisti |
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Poster
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Tue 2:30 |
Long-Tailed Learning Requires Feature Learning Thomas Laurent · James von Brecht · Xavier Bresson |
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Poster
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A Learning Based Hypothesis Test for Harmful Covariate Shift Tom Ginsberg · Zhongyuan Liang · Rahul G. Krishnan |
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Poster
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Mon 2:30 |
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution Sungyoon Lee · Cheongjae Jang |
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Oral
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Mon 6:00 |
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium Ian Gemp · Charlie Chen · Brian McWilliams |
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Poster
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Mon 7:30 |
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium Ian Gemp · Charlie Chen · Brian McWilliams |
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Poster
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Mon 2:30 |
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun · Nikhil Ghosh · Saurabh Garg · Boaz Barak · Preetum Nakkiran |
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Poster
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Mon 2:30 |
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees Ali Ramezani-Kebrya · Kimon Antonakopoulos · Igor Krawczuk · Justin Deschenaux · Volkan Cevher |