Transferable Representation Learning with Deep Adaptation Networks
Domain adaptation studies learning algorithms that generalize across source domains and target domains that exhibit different distributions. Recent studies reveal that deep neural networks can learn transferable features that generalize well to similar novel tasks. However, as deep features eventual...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 12 vom: 01. Dez., Seite 3071-3085
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| Auteur principal: |
Long, Mingsheng
(Auteur) |
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| Autres auteurs: |
Cao, Yue,
Cao, Zhangjie,
Wang, Jianmin,
Jordan, Michael I |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2019
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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