Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

10 Mar 2020Remi Tachet des CombesHan ZhaoYu-Xiang WangGeoff Gordon

Adversarial learning has demonstrated good performance in the unsupervised domain adaptation setting, by learning domain-invariant representations that perform well on the source domain. However, recent work has underlined limitations of existing methods in the presence of mismatched label distributions between the source and target domains... (read more)

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