Regularly Truncated M-Estimators for Learning With Noisy Labels
The sample selection approach is very popular in learning with noisy labels. As deep networks "learn pattern first", prior methods built on sample selection share a similar training procedure: the small-loss examples can be regarded as clean examples and used for helping generalization, wh...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 5 vom: 25. Apr., Seite 3522-3536
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| 1. Verfasser: |
Xia, Xiaobo
(VerfasserIn) |
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| Weitere Verfasser: |
Lu, Pengqian,
Gong, Chen,
Han, Bo,
Yu, Jun,
Liu, Tongliang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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