Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method

Hilarie Sit, Brendan Keith, Karianne Bergen

We propose a prototype-based approach for improving explainability of softmax classifiers that provides an understandable prediction confidence, generated through stochastic sampli…