BriefGPT.xyz
Apr, 2017
紧密但不同的领域自适应
Close Yet Distinctive Domain Adaptation
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Lingkun Luo, Xiaofang Wang, Shiqiang Hu, Chao Wang, Yuxing Tang...
TL;DR
该论文提出了一种名称为CDDA的方法,通过最大平均差异度量源和目标域之间的差异,生成具有约束力的潜在特征表示,并提出标签平滑性和几何结构一致性的约束条件,进一步提高其适应领域的区分能力。
Abstract
domain adaptation
is
transfer learning
which aims to generalize a learning model across training and testing data with different distributions. Most previous research tackle this problem in seeking a shared featu
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