Zhihan Cheng

Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining

In recent years, work has gone into developing deep interpretable methods for image classification that clearly attributes a model's output to specific features of the data. One such of these methods is the Prototypical Part Network (ProtoPNet), which attempts to classify images based on meaningful…