Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation

Sahil Singla, Eric Wallace, Shi Feng +1

Current methods to interpret deep learning models by generating saliency maps generally rely on two key assumptions. First, they use first-order approximations of the loss function…