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12 Results
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Poster
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Fri 16:30 |
LaSCal: Label-Shift Calibration without target labels Teodora Popordanoska · Gorjan Radevski · Tinne Tuytelaars · Matthew Blaschko |
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Poster
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Thu 16:30 |
Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan |
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Poster
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Fri 11:00 |
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift Jiawei Ge · Debarghya Mukherjee · Jianqing Fan |
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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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A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang · Mona Gandhi · Yufei Wang · Yifan Wu · Michael Yao · Chris Callison-Burch · James Gee · Mark Yatskar |
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Affinity Event
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Multi-Modal Pipeline Defect Localization Mariam Manzoor · Zahra Arabi Narei · Henry Leung · Scott Miller |
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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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Fri 16:30 |
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts Andong Wang · Yuning Qiu · Mingyuan Bai · Zhong Jin · Guoxu Zhou · Qibin Zhao |
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Poster
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Fri 11:00 |
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs qinpeng cui · yixuan liu · Xinyi Zhang · Qiqi Bao · Qingmin Liao · liwang Amd · Lu Tian · Zicheng Liu · Zhongdao Wang · Emad Barsoum |
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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 |
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Poster
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Wed 16:30 |
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang · Mona Gandhi · Yufei Wang · Yifan Wu · Michael Yao · Chris Callison-Burch · James Gee · Mark Yatskar |
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Workshop
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter |