Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Gabriel Erion, Joseph D. Janizek, Pascal Sturmfels +2

Recent research has demonstrated that feature attribution methods for deep networks can themselves be incorporated into training; these attribution priors optimize for a model whos…