BriefGPT.xyz
May, 2017
条件对抗领域自适应
Domain Adaptation with Randomized Multilinear Adversarial Networks
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Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
TL;DR
该研究提出了条件对抗域适应的方法，通过两种新的调节策略，Multilinear调节和Entropy调节，实现对不同领域的分类问题的对抗对齐，超过了五个数据集上的最新成果。
Abstract
adversarial learning
has been successfully embedded into
deep networks
to learn transferable features for
domain adaptation
, which reduce
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