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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
International Machine Learning Society
2021
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| Online Access: | https://hdl.handle.net/1721.1/130356 |