Meta-Transfer Learning Through Hard Tasks
Meta-learning has been proposed as a framework to address the challenging few-shot learning setting. The key idea is to leverage a large number of similar few-shot tasks in order to learn how to adapt a base-learner to a new task for which only a few labeled samples are available. As deep neural net...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 3 vom: 01. März, Seite 1443-1456
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| 1. Verfasser: |
Sun, Qianru
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Yaoyao,
Chen, Zhaozheng,
Chua, Tat-Seng,
Schiele, Bernt |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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