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29 Results
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Poster
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Fri 11:00 |
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas |
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Workshop
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Sat 15:45 |
Uncertainty Quantification for Inverse Problems with Generative Priors under Distribution Shift Sara Fridovich-Keil |
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Workshop
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Detection of Partially-Synthesized LLM Text Eric Lei · Hsiang Hsu · Richard Chen |
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Poster
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Fri 16:30 |
Optimal Classification under Performative Distribution Shift Edwige Cyffers · Muni Sreenivas Pydi · Jamal Atif · Olivier Cappé |
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Workshop
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Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention Alexander Koebler · Thomas Decker · Ingo Thon · Volker Tresp · Florian Buettner |
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Poster
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Fri 11:00 |
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts Deyu Zou · Shikun Liu · Siqi Miao · Victor Fung · Shiyu Chang · Pan Li |
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Workshop
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Compositional Risk Minimization Divyat Mahajan · Mohammad Pezeshki · Ioannis Mitliagkas · Kartik Ahuja · Pascal Vincent |
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Poster
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AUC Maximization under Positive Distribution Shift Atsutoshi Kumagai · Tomoharu Iwata · Hiroshi Takahashi · Taishi Nishiyama · Yasuhiro Fujiwara |
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Workshop
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DivShift: Exploring Domain-Specific Distribution Shift in Large-Scale, Volunteer-Collected Biodiversity Datasets Elena Sierra · Lauren Gillespie · Salim Soltani · Moisés Expósito-Alonso · Teja Kattenborn |
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Workshop
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Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Paul Soulos · Henry Conklin · Mattia Opper · Paul Smolensky · Jianfeng Gao · Roland Fernandez |
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Workshop
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AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler Changhun Kim · Taewon Kim · Seungyeon Woo · June Yong Yang · Eunho Yang |
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Poster
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Thu 11:00 |
Label Alignment Regularization for Distribution Shift Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan |