2025 "distribution shift robustness" Papers
8 papers found
Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
NeurIPS 2025posterarXiv:2509.23666
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
ICLR 2025posterarXiv:2502.15809
5
citations
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
NeurIPS 2025posterarXiv:2510.07823
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros et al.
NeurIPS 2025posterarXiv:2510.19640
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Zheda Mai, Ping Zhang, Cheng-Hao Tu et al.
CVPR 2025highlightarXiv:2409.16434
8
citations
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Jing Zuo, Luoping Cui, Chuang Zhu et al.
NeurIPS 2025poster
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
Xinyu Luo, Kecheng Chen, Pao-Sheng Sun et al.
NeurIPS 2025oralarXiv:2504.02298
1
citations
Sufficient Invariant Learning for Distribution Shift
Taero Kim, Subeen Park, Sungjun Lim et al.
CVPR 2025posterarXiv:2210.13533
3
citations