A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels
Many machine learning algorithms are known to be fragile on simple instance-independent noisy labels. However, noisy labels in real-world data are more devastating since they are produced by more complicated mechanisms in an instance-dependent manner. In this paper, we target this practical challeng...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 7 vom: 03. Juni, Seite 4830-4842
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| 1. Verfasser: |
Wu, Songhua
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Tianyi,
Du, Yuxuan,
Yu, Jun,
Han, Bo,
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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