Poster "distributional shift" Papers
14 papers found
Conference
Active Test-time Vision-Language Navigation
Heeju Ko, Sung June Kim, Gyeongrok Oh et al.
NEURIPS 2025arXiv:2506.06630
1
citations
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
Qixun Wang, Yifei Wang, Xianghua Ying et al.
ICLR 2025arXiv:2410.09695
16
citations
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
Yudong Zhang, Xuan Yu, Xu Wang et al.
ICLR 2025
2
citations
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction
Jeffrey Willette, Heejun Lee, Sung Ju Hwang
NEURIPS 2025arXiv:2505.11254
3
citations
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Wei Feng, Zongyuan Ge
NEURIPS 2025arXiv:2511.00573
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.
NEURIPS 2025
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Yuanyao Chen, Rongsheng Chen, Fu Luo et al.
NEURIPS 2025arXiv:2506.02392
5
citations
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
Yudong Chen, Xuwei Xu, Frank de Hoog et al.
ICLR 2025
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang et al.
NEURIPS 2025arXiv:2510.20295
2
citations
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
Ahmed Heakl, Yahia Salaheldin Shaaban, Salem Lahlou et al.
NEURIPS 2025arXiv:2505.21887
2
citations
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
Mingxi Lei, Chunwei Ma, Meng Ding et al.
ICLR 2025arXiv:2412.07980
1
citations
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
NEURIPS 2025arXiv:2510.20242
1
citations
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.
ICML 2024arXiv:2402.02036
7
citations
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
Chengjie Wu, Hao Hu, yiqin yang et al.
ICML 2024