Hanjing Wang*

Optimization-based Uncertainty Attribution Via Learning Informative Perturbations

"Uncertainty attribution (UA) aims to identify key contributors to predictive uncertainty in deep learning models. To improve the faithfulness of existing UA methods, we formulate UA as an optimization problem to learn a binary mask on the input. The learned mask identifies regions that significantl…