Semi-supervised representation learning via dual autoencoders for domain adaptation

4 Aug 2019Shuai YangHao WangYuhong ZhangPei-Pei LiYi ZhuXuegang Hu

Domain adaptation aims to exploit the knowledge in source domain to promote the learning tasks in target domain, which plays a critical role in real-world applications. Recently, lots of deep learning approaches based on autoencoders have achieved a significance performance in domain adaptation... (read more)

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