迁移表达：Transferable Representation

说的还是迁移学习，就是从一个源域学习迁徙到目标域。其中关键的点就是让两个域的数据表达以后能相似。这篇文章说用深度学习来表达，而且要求深度学习的每一层的两个域的数据的表达都要相似。作者是清华大学的牛人Mingsheng Long。

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Transferable Representation Learning with Deep  Adaptation Networks

Mingsheng Long ; Yue Cao ; Zhangjie Cao ; Jianmin Wang ; Michael I. Jordan

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2018 , ( Early Access )

Page s: 1 - 1

Transferable Representation Learning with Deep  Adaptation Networks

Mingsheng Long ; Yue Cao ; Zhangjie Cao ; Jianmin Wang ; Michael I. Jordan

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2018 , ( Early Access )

Page s: 1 - 1

Transferable Representation Learning with Deep  Adaptation Networks

Mingsheng Long ; Yue Cao ; Zhangjie Cao ; Jianmin Wang ; Michael I. Jordan

IEEE Transactions on Pattern Analysis and Machine Intelligence

Year: 2018 , ( Early Access )

Page s: 1 - 1