28 citations · 111 across the 25 of their papers we have counts for
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cs.LG2021★ 4 cited
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu +3
A fundamental challenge for machine learning models is generalizing to out-of-distribution (OOD) data, in part due to spurious correlations. To tackle this challenge, we first form…
cs.LG2021★ 5 cited
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang, Zeyi Huang, Hanlin Zhang +2
Machine learning has demonstrated remarkable prediction accuracy over i.i.d data, but the accuracy often drops when tested with data from another distribution. In this paper, we ai…