Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models

Gayda Mutahar, Tim Miller

This paper evaluates whether training a decision tree based on concepts extracted from a concept-based explainer can increase interpretability for Convolutional Neural Networks (CN…