2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
NeurIPS 2020poster
Feature attribution (FA), or the assignment of class-relevance to different locations in an image, is important for many classification problems but is particularly crucial within the neuroscience domain, where accurate mechanistic models of behaviours, or disease, require knowledge of all features…