Schäfer, F., Mandl, L., Kälber, L., & Ricken, T. (2026). Architecture-agnostic Lipschitz-constant Bayesian header and its application to resolve semantically proximal classification errors with vision transformers.
Style de citation Chicago (17e éd.)Schäfer, Frederik, Luis Mandl, Lars Kälber, et Tim Ricken. Architecture-agnostic Lipschitz-constant Bayesian Header and Its Application to Resolve Semantically Proximal Classification Errors with Vision Transformers. 2026.
Style de citation MLA (9e éd.)Schäfer, Frederik, et al. Architecture-agnostic Lipschitz-constant Bayesian Header and Its Application to Resolve Semantically Proximal Classification Errors with Vision Transformers. 2026.
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