113 citations · 117 across the 2 of their papers we have counts for
2 papers
cs.LG2017★ 113 cited
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li, Yongxin Yang, Yi-Zhe Song +1
Domain shift refers to the well known problem that a model trained in one source domain performs poorly when applied to a target domain with different statistics. {Domain Generaliz…
cs.CV2017★ 4 cited
Deeper, Broader and Artier Domain Generalization
Da Li, Yongxin Yang, Yi-Zhe Song +1
The problem of domain generalization is to learn from multiple training domains, and extract a domain-agnostic model that can then be applied to an unseen domain. Domain generaliza…