A Learning Paradigm for Interpretable Gradients

Felipe Torres Figueroa, Hanwei Zhang, Ronan Sicre +2

This paper studies interpretability of convolutional networks by means of saliency maps. Most approaches based on Class Activation Maps (CAM) combine information from fully connect…