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Workshop
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Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts
Xiruo Ding · Zhecheng Sheng · Brian Hur · Feng Chen · Serguei Pakhomov · Trevor Cohen
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Workshop
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Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings
Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn
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Affinity Workshop
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Evaluating zero-shot image classification based on visual language model with relation to background shift
Flávio Santos · Maynara Souza · Cleber Zanchettin
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Workshop
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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li · Yifan Zhang · Lanqing Hong · Zhenguo Li · Nevin L. Zhang
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Workshop
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Understanding Insect Range Shifts with Out-of-distribution Detection
Yuyan Chen · David Rolnick
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Poster
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Thu 15:00
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Benchmarking Distribution Shift in Tabular Data with TableShift
Josh Gardner · Zoran Popovic · Ludwig Schmidt
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Workshop
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Fri 11:55
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OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Jingyang Zhang · Jingkang Yang · Pengyun Wang · Haoqi Wang · Yueqian Lin · Haoran Zhang · Yiyou Sun · Xuefeng Du · Kaiyang Zhou · Wayne Zhang · Yixuan Li · Ziwei Liu · Yiran Chen · Hai Li
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Tutorial
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Mon 11:45
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Modeling and Exploiting Data Heterogeneity under Distribution Shifts
Jiashuo Liu · Tianhui Cai · Peng Cui · Hongseok Namkoong
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Workshop
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Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation
Chinmaya Kausik · Kashvi Srivastava · Rishi Sonthalia
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Poster
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Tue 15:15
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(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
Elan Rosenfeld · Saurabh Garg
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Workshop
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Ask Your Shift if Pre-Training is Right for You
Benjamin Cohen-Wang · Joshua Vendrow · Aleksander Madry
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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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