2022
A Framework for Learning Ante-Hoc Explainable Models via Concepts
CVPR 2022poster
Self-explaining deep models are designed to learn the latent concept-based explanations implicitly during training, which eliminates the requirement of any post-hoc explanation generation technique. In this work, we propose one such model that appends an explanation generation module on top of any b…