Prashan Madumal

Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

Convolutional neural network (CNN) models for computer vision are powerful but lack explainability in their most basic form. This deficiency remains a key challenge when applying CNNs in important domains. Recent work on explanations through feature importance of approximate linear models has moved…