2021
Explaining Local, Global, and Higher-Order Interactions in Deep Learning
ICCV 2021poster
We present a simple yet highly generalizable method for explaining interacting parts within a neural network's reasoning process. First, we design an algorithm based on cross derivatives for computing statistical interaction effects between individual features, which is generalized to both 2-way and…