Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

21 Nov 2019Yuxuan SongLantao YuZhangjie CaoZhiming ZhouJian ShenShuo ShaoWeinan ZhangYong Yu

Domain adaptation aims to leverage the supervision signal of source domain to obtain an accurate model for target domain, where the labels are not available. To leverage and adapt the label information from source domain, most existing methods employ a feature extracting function and match the marginal distributions of source and target domains in a shared feature space... (read more)

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