Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning

Andrei Semenov, Vladimir Ivanov, Aleksandr Beznosikov +1

We propose a novel architecture and method of explainable classification with Concept Bottleneck Models (CBMs). While SOTA approaches to Image Classification task work as a black b…