3 citations · 3 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan Liao, Qi Wu, Xing Yan
Out-Of-Distribution (OOD) generalization is an essential topic in machine learning. However, recent research is only focusing on the corresponding methods for neural networks. This…
cs.LG2022★ 3 cited
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Yufan Liao, Qi Wu, Zhaodi Wu +1
Invariant learning methods, aimed at identifying a consistent predictor across multiple environments, are gaining prominence in out-of-distribution (OOD) generalization. Yet, when…