BadLabel : A Robust Perspective on Evaluating and Enhancing Label-Noise Learning
Label-noise learning (LNL) aims to increase the model's generalization given training data with noisy labels. To facilitate practical LNL algorithms, researchers have proposed different label noise types, ranging from class-conditional to instance-dependent noises. In this paper, we introduce a...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 6 vom: 18. Juni, Seite 4398-4409
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| Auteur principal: |
Zhang, Jingfeng
(Auteur) |
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| Autres auteurs: |
Song, Bo,
Wang, Haohan,
Han, Bo,
Liu, Tongliang,
Liu, Lei,
Sugiyama, Masashi |
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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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