37 citations · 76 across the 10 of their papers we have counts for
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cs.LG2020★ 1 cited
Learning transferable and discriminative features for unsupervised domain adaptation
Yuntao Du, Ruiting Zhang, Xiaowen Zhang +3
Although achieving remarkable progress, it is very difficult to induce a supervised classifier without any labeled data. Unsupervised domain adaptation is able to overcome this cha…
cs.LG2020★ 9 cited
Dual Adversarial Domain Adaptation
Yuntao Du, Zhiwen Tan, Qian Chen +3
Unsupervised domain adaptation aims at transferring knowledge from the labeled source domain to the unlabeled target domain. Previous adversarial domain adaptation methods mostly a…