Sheng-Min Shih

GANMEX: One-vs-One Attributions using GAN-based Model Explainability

Attribution methods have been shown as promising approaches for identifying key features that led to learned model predictions. While most existing attribution methods rely on a baseline input for performing feature perturbations, limited research has been conducted to address the baseline selection…