ICLR 2025 "distribution shifts" Papers

5 papers found

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CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Jihye Choi, Jayaram Raghuram, Yixuan Li et al.

ICLR 2025poster

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation

Wenxuan Bao, Zhichen Zeng, Zhining Liu et al.

ICLR 2025posterarXiv:2410.06976
4
citations

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models

Youngjun Lee, Doyoung Kim, Junhyeok Kang et al.

ICLR 2025poster
5
citations

Rethinking Fair Representation Learning for Performance-Sensitive Tasks

Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz et al.

ICLR 2025posterarXiv:2410.04120
5
citations

Universal generalization guarantees for Wasserstein distributionally robust models

Tam Le, Jerome Malick

ICLR 2025posterarXiv:2402.11981
7
citations