Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption

30 Nov 2018Yexun ZhangYa ZhangYanfeng WangQi Tian

Unsupervised domain adaption aims to learn a powerful classifier for the target domain given a labeled source data set and an unlabeled target data set. To alleviate the effect of `domain shift', the major challenge in domain adaptation, studies have attempted to align the distributions of the two domains... (read more)

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