Digest: Local adaptation at close quarters*
نویسندگان
چکیده
منابع مشابه
Close Yet Distinctive Domain Adaptation
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 feature representation between source and target domains while reducing the mismatch of their data distributions. In this paper, we propose a close yet discriminative domain adaptation metho...
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ژورنال
عنوان ژورنال: Evolution
سال: 2018
ISSN: 0014-3820
DOI: 10.1111/evo.13521