Revisiting Essential and Nonessential Settings of Evidential Deep Learning

Evidential Deep Learning (EDL) is an emerging method for uncertainty estimation that provides reliable predictive uncertainty in a single forward pass, attracting significant attention. Grounded in subjective logic, EDL derives Dirichlet concentration parameters from neural networks to construct a D...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 10 vom: 06. Sept., Seite 8658-8673
Auteur principal:	Chen, Mengyuan (Auteur)
Autres auteurs:	Gao, Junyu, Xu, Changsheng
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article