most citedTowards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks

5 citations · 5 across the 3 of their papers we have counts for

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cs.LG2023

A Causal Framework to Unify Common Domain Generalization Approaches

Nevin L. Zhang, Kaican Li, Han Gao +5

Domain generalization (DG) is about learning models that generalize well to new domains that are related to, but different from, the training domain(s). It is a fundamental problem…

cs.LG2023

Consistency Regularization for Domain Generalization with Logit Attribution Matching

Han Gao, Kaican Li, Weiyan Xie +5

Domain generalization (DG) is about training models that generalize well under domain shift. Previous research on DG has been conducted mostly in single-source or multi-source sett…