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Workshop
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Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift
Mona Schirmer · Dan Zhang · Eric Nalisnick
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Workshop
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Rectifying Group Irregularities in Explanations for Distribution Shift
Adam Stein · Yinjun Wu · Eric Wong · Mayur Naik
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Workshop
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Bilevel Optimization to Learn Training Distributions for Language Modeling under Domain Shift
David Grangier · Pierre Ablin · Awni Hannun
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Workshop
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Transfer Learning, Reinforcement Learning for Adaptive Control Optimization under Distribution Shift
Pankaj Rajak · Wojciech Kowalinski · Fei Wang
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Poster
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Wed 15:00
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Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang · Xin Wang · Ziwei Zhang · Zhou Qin · Weigao Wen · Hui Xue' · Haoyang Li · Wenwu Zhu
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Poster
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Wed 8:45
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Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
Lauren Conger · Franca Hoffmann · Eric Mazumdar · Lillian Ratliff
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Workshop
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On Mitigating Shortcut Learning for Fair Chest X-ray Classification under Distribution Shift
Yuzhe Yang · Haoran Zhang · Dina Katabi · Marzyeh Ghassemi
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Workshop
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Are all classes created equal? Domain Generalization for Domain-Linked Classes
Kimathi Kaai · Saad Hossain · Sirisha Rambhatla
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Workshop
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Improving Fairness in Facial Recognition Models with Distribution Shifts
Gianluca Barone · Aashrit Cunchala · Rudy Nunez · Nicole Yang
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Poster
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Thu 15:00
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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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Poster
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Wed 15:00
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The s-value: evaluating stability with respect to distributional shifts
Suyash Gupta · Dominik Rothenhäusler
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Workshop
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On selective classification under distribution shift
Luís Felipe Cattelan · Danilo Silva
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