MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes

Bor-Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu

Recent advancements in post-hoc and inherently interpretable methods have markedly enhanced the explanations of black box classifier models. These methods operate either through po…