2025 "distribution shift" Papers
9 papers found
AdaWM: Adaptive World Model based Planning for Autonomous Driving
Hang Wang, Xin Ye, Feng Tao et al.
ICLR 2025posterarXiv:2501.13072
13
citations
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
Xincheng Yao, Yan Luo, Zefeng Qian et al.
NeurIPS 2025posterarXiv:2511.05245
1
citations
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.
ICLR 2025oralarXiv:2502.00818
8
citations
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou, Bo Han, Yuheng Jia et al.
NeurIPS 2025posterarXiv:2510.03993
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam Klivans, Lin Lin Lee et al.
ICLR 2025posterarXiv:2502.16021
1
citations
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
Tian Gao, Songtao Lu, Junkyu Lee et al.
NeurIPS 2025oral
MetaOOD: Automatic Selection of OOD Detection Models
Yuehan Qin, Yichi Zhang, Yi Nian et al.
ICLR 2025posterarXiv:2410.03074
16
citations
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege, Bram Wouters, Noud Giersbergen et al.
ICLR 2025posterarXiv:2410.14315
1
citations
Progressive Test Time Energy Adaptation for Medical Image Segmentation
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park et al.
ICCV 2025highlightarXiv:2503.16616
3
citations