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28 Results
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Workshop
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Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization Mher Safaryan · Filip Hanzely · Peter Richtarik |
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Poster
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Thu 1:00 |
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien |
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Poster
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Thu 9:00 |
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar · Dimitris Tsipras · Aleksander Madry |
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Poster
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Wed 1:00 |
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning Samuel Horváth · Peter Richtarik |
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Spotlight
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Thu 21:28 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Workshop
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Fri 12:30 |
Better Adaptation to Distribution Shifts with Robust Pseudo-Labeling Evgenia Rusak |
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Workshop
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On Improving Adversarial Robustness Using Proxy Distributions Vikash Sehwag · Chong Xiang · Mung Chiang · Prateek Mittal |
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Poster
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Thu 17:00 |
Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui |
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Poster
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Thu 17:00 |
Convex Regularization behind Neural Reconstruction Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly |
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Poster
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Wed 17:00 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville |
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Oral
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Mon 11:00 |
Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama |