"distributional shift" Papers
8 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
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein, Maha Shadaydeh, Jan Blunk et al.
ICLR 2025oralarXiv:2503.17452
7
citations
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
Yudong Zhang, Xuan Yu, Xu Wang et al.
ICLR 2025poster
2
citations
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
SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
Ahmed Heakl, Yahia Salaheldin Shaaban, Salem Lahlou et al.
NeurIPS 2025posterarXiv:2505.21887
2
citations
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.
ICML 2024poster
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
Chengjie Wu, Hao Hu, yiqin yang et al.
ICML 2024poster
Reinforcement Learning and Data
Generation for Syntax-Guided Synthesis
AAAI 2024paperarXiv:2210.09241