NeurIPS 2025 "interpretable concepts" Papers

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An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations

Seonghwan Park, Jueun Mun, Donghyun Oh et al.

NeurIPS 2025posterarXiv:2505.16705
2
citations

Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens

Samuele Bortolotti, Emanuele Marconato, Paolo Morettin et al.

NeurIPS 2025posterarXiv:2502.11245
9
citations