Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training for Enhancing Sparsity and Stability of Saliency Maps

Adversarial training with norm-based regularization can promote desired structures such as sparsity and connectedness in simple gradient-based saliency maps without compromising their fidelity.