Pieter-Jan Kindermans

A Benchmark for Interpretability Methods in Deep Neural Networks

2018 · arXiv (Cornell University)

We propose an empirical measure of the approximate accuracy of feature importance estimates in deep neural networks. Our results across several large-scale image classification datasets show that many popular interpretability methods produce estimates of feature …