Variational Label Enhancement for Instance-Dependent Partial Label Learning

Partial label learning (PLL) is a form of weakly supervised learning, where each training example is linked to a set of candidate labels, among which only one label is correct. Most existing PLL approaches assume that the incorrect labels in each training example are randomly picked as the candidate...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 06. Sept.
Auteur principal:	Xu, Ning (Auteur)
Autres auteurs:	Qiao, Congyu, Zhao, Yuchen, Geng, Xin, Zhang, Min-Ling
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article