Obtaining Example-Based Explanations from Deep Neural Networks

Genghua Dong, Henrik Boström, Michalis Vazirgiannis +1

Most techniques for explainable machine learning focus on feature attribution, i.e., values are assigned to the features such that their sum equals the prediction. Example attribut…