Joint distribution matching embedding for unsupervised domain adaptation
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DOI: 10.1016/j.neucom.2020.05.098
Abstract: Abstract When the distributions between the source (training) and target (test) datasets are different, the performance of classical statistical learning methods degrades significantly. Domain adaptation (DA) aims at correcting this distribution mismatch and narrowing down… read more here.
Keywords: matching embedding; joint distribution; domain adaptation; distribution matching ... See more keywords