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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 12 vom: 01. Dez., Seite 3071-3085
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| 1. Verfasser: |
Long, Mingsheng
(VerfasserIn) |
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| Weitere Verfasser: |
Cao, Yue,
Cao, Zhangjie,
Wang, Jianmin,
Jordan, Michael I |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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