Learning to Generalize: Meta-Learning for Domain Generalization

10 Oct 2017 Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales

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 Generalization} (DG) techniques attempt to alleviate this issue by producing models which by design generalize well to novel testing domains... (read more)

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