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Apr, 2019
主动对抗域自适应
Active Adversarial Domain Adaptation
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Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji...
TL;DR
提出了一种积极学习的方法,通过敌对领域自适应(AADA)进行表示转移,其探索了两个相关问题之间的双重性:敌对领域对齐和重要性采样来适应跨域模型, 以及将两种方法结合在一个框架中进行领域自适应和转移学习,当源域有许多标记示例而目标域没有时,它提供了重要的改进。
Abstract
We propose an
active learning
approach for transferring representations across domains. Our approach, active
adversarial domain adaptation
(AADA), explores a duality between two related problems: adversarial
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