Student Loss : Towards the Probability Assumption in Inaccurate Supervision

Noisy labels are often encountered in datasets, but learning with them is challenging. Although natural discrepancies between clean and mislabeled samples in a noisy category exist, most techniques in this field still gather them indiscriminately, which leads to their performances being partially ro...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 6 vom: 01. Juni, Seite 4460-4475
Auteur principal:	Zhang, Shuo (Auteur)
Autres auteurs:	Li, Jian-Qing, Fujita, Hamido, Li, Yu-Wen, Wang, Deng-Bao, Zhu, Ting-Ting, Zhang, Min-Ling, Liu, Cheng-Yu
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article