MetaKernel : Learning Variational Random Features With Limited Labels
Few-shot learning deals with the fundamental and challenging problem of learning from a few annotated samples, while being able to generalize well on new tasks. The crux of few-shot learning is to extract prior knowledge from related tasks to enable fast adaptation to a new task with a limited amoun...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 3 vom: 28. März, Seite 1464-1478
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| Auteur principal: |
Du, Yingjun
(Auteur) |
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| Autres auteurs: |
Sun, Haoliang,
Zhen, Xiantong,
Xu, Jun,
Yin, Yilong,
Shao, Ling,
Snoek, Cees G M |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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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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