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20232026
most citedInterpretable and Fair Mechanisms for Abstaining Classifiers

2 citations · 2 across the 9 of their papers we have counts for

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cs.CV2026

Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations

Nicola Debole, Andrea Passerini, Stefano Teso +2

Concept-bottleneck models (CBMs) are neural classifiers that compute predictions from high-level concepts extracted from the input. CBMs ensure stakeholders can understand the conc…