Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously
2020-03-18Unverified0· sign in to hype
Qing Tian, Yanan Zhu, Chuang Ma, Meng Cao
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target domain by transferring knowledge from the source domain.