ICLR Poster "distribution shifts" Papers

7 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

Directional Gradient Projection for Robust Fine-Tuning of Foundation Models

Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan et al.

ICLR 2025posterarXiv:2502.15895
7
citations

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

Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks

Chenyi Zi, Bowen LIU, Xiangguo SUN et al.

ICLR 2025poster

Universal generalization guarantees for Wasserstein distributionally robust models

Tam Le, Jerome Malick

ICLR 2025posterarXiv:2402.11981
7
citations