2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
CVPR 2025poster
Interpretability is critical for machine learning models in high-stakes settings because it allows users to verify the model's reasoning. In computer vision, prototypical part models (ProtoPNets) have become the dominant model type to meet this need. Users can easily identify flaws in ProtoPNets, bu…