Poster "distribution shift robustness" Papers

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Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability

Divya Jyoti Bajpai, Manjesh Kumar Hanawal

NeurIPS 2025posterarXiv:2509.23666

Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation

Shohei Enomoto

NeurIPS 2025posterarXiv:2510.07823

Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models

Jing Zuo, Luoping Cui, Chuang Zhu et al.

NeurIPS 2025poster

Sufficient Invariant Learning for Distribution Shift

Taero Kim, Subeen Park, Sungjun Lim et al.

CVPR 2025posterarXiv:2210.13533
3
citations

Learning Divergence Fields for Shift-Robust Graph Representations

Qitian Wu, Fan Nie, Chenxiao Yang et al.

ICML 2024poster

Robust Data-driven Prescriptiveness Optimization

Mehran Poursoltani, Erick Delage, Angelos Georghiou

ICML 2024poster

WARM: On the Benefits of Weight Averaged Reward Models

Alexandre Rame, Nino Vieillard, Léonard Hussenot et al.

ICML 2024poster