Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability

Suraj Srinivas, Francois Fleuret

Current methods for the interpretability of discriminative deep neural networks commonly rely on the model's input-gradients, i.e., the gradients of the output logits w.r.t. the in…