ICLR 2025 "distribution shifts" Papers
5 papers found
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