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Workshop
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A Joint Training-Calibration Framework for Test-Time Personalization with Label Distribution Shift in Federated Learning
Jian Xu · Shao-Lun Huang
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Workshop
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Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Saurabh Garg · Amrith Setlur · Zachary Lipton · Sivaraman Balakrishnan · Virginia Smith · Aditi Raghunathan
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Workshop
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Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
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Workshop
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A Closer Look at In-Context Learning under Distribution Shifts
Kartik Ahuja · David Lopez-Paz
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Poster
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Thu 13:30
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Learning Rate Schedules in the Presence of Distribution Shift
Matthew Fahrbach · Adel Javanmard · Vahab Mirrokni · Pratik Worah
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Workshop
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Coupled Gradient Flows for Strategic Non-Local Distribution Shift
Lauren Conger · Franca Hoffmann · Eric Mazumdar · Lillian Ratliff
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Poster
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Tue 17:00
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"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
Haoran Zhang · Harvineet Singh · Marzyeh Ghassemi · Shalmali Joshi
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Workshop
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Antibody DomainBed: Towards robust predictions using invariant representations of biological sequences carrying complex distribution shifts
Natasa Tagasovska · Ji Won Park · Stephen Ra · Kyunghyun Cho
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Poster
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Wed 17:00
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Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner · Tim G. J. Rudner · Michael Reutlinger · Torsten Schindler · Garrett Morris · Charlotte Deane · Yee-Whye Teh
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Workshop
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Conditional Diffusion Replay for Continual Learning in Medical Settings
Yewon Byun · Saurabh Garg · Sanket Vaibhav Mehta · Praveer Singh · Jayashree Kalpathy-cramer · Bryan Wilder · Zachary Lipton
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Workshop
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Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance
Zhihang Yuan · Jiawei Liu · Jiaxiang Wu · Dawei Yang · Qiang Wu · Guangyu Sun · Wenyu Liu · Xinggang Wang · Bingzhe Wu
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