Ho Kyung Shin

PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations

Self-interpretable models are increasingly valued for their inherent explainability. Among them, part-prototype networks stand out by mimicking human reasoning through the use of learned prototypes. However, their explanations often lack stability, becoming sensitive to subtle input perturbations. I