GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines

Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin

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 ba…