Architecture-agnostic Lipschitz-constant Bayesian header and its application to resolve semantically proximal classification errors with vision transformers

Fuente: arXiv

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Bibliographic Details
Main Authors:	Schäfer, Frederik, Mandl, Luis, Kälber, Lars, Ricken, Tim
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.05908