Support and invertibility in domain-invariant representations

Learning domain-invariant representations has become a popular approach to unsupervised domain adaptation and is often justified by invoking a particular suite of theoretical results. We argue that there are two significant flaws in such arguments. First, the results in question hold only for a fixe...

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Bibliographic Details
Main Authors: Johansson, Fredrik D. (Author), Sontag, David Alexander (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: International Machine Learning Society, 2021-04-05T14:00:53Z.
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