2025 Poster "distributional shift" Papers
6 papers found
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
Qixun Wang, Yifei Wang, Xianghua Ying et al.
ICLR 2025posterarXiv:2410.09695
15
citations
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
Yudong Zhang, Xuan Yu, Xu Wang et al.
ICLR 2025poster
2
citations
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
Wei Feng, Zongyuan Ge
NeurIPS 2025posterarXiv:2511.00573
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Yuanyao Chen, Rongsheng Chen, Fu Luo et al.
NeurIPS 2025posterarXiv:2506.02392
3
citations
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
Yang Qiu, Yixiong Zou, Jun Wang et al.
NeurIPS 2025posterarXiv:2510.20295
1
citations
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
Ahmed Heakl, Yahia Salaheldin Shaaban, Salem Lahlou et al.
NeurIPS 2025posterarXiv:2505.21887
2
citations