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Poster
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Fri 16:30
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LaSCal: Label-Shift Calibration without target labels
Teodora Popordanoska · Gorjan Radevski · Tinne Tuytelaars · Matthew Blaschko
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Poster
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Fri 11:00
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Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky · Yuval Benjamini
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Poster
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Fri 11:00
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On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker · Amrith Setlur · Steven Wu · Virginia Smith
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Workshop
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Sat 15:45
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Conformal Prediction Adaptive to Unknown Subpopulation Shifts
Nien-Shao Wang · Sai Praneeth Karimireddy
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Poster
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Fri 11:00
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Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo · Diego Klabjan
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Poster
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Fri 11:00
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GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu · Kaidi Cao · Bruno Ribeiro · James Zou · Jure Leskovec
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Poster
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Fri 11:00
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Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
Jiawei Ge · Debarghya Mukherjee · Jianqing Fan
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Workshop
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Sat 12:00
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Robust Conformal Prediction Using Privileged Information
Shai Feldman · Yaniv Romano
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Poster
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Fri 11:00
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Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas
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Poster
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Thu 16:30
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Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao · Bingnan Li · Mathieu Salzmann · Xuming He
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Workshop
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Sat 15:45
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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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