Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation

19 May 2019Feng LiuJie LuBo HanGang NiuGuangquan ZhangMasashi Sugiyama

In unsupervised domain adaptation (UDA), classifiers for the target domain (TD) are trained with clean labeled data from the source domain (SD) and unlabeled data from TD. However, in the wild, it is hard to acquire a large amount of perfectly clean labeled data in SD given limited budget... (read more)

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