Baseline Computation for Attribution Methods Based on Interpolated Inputs

Code

• github.com/mlerma54/RSIGradCAM
  Officialtf★ 2

Abstract

We discuss a way to find a well behaved baseline for attribution methods that work by feeding a neural network with a sequence of interpolated inputs between two given inputs. Then, we test it with our novel Riemann-Stieltjes Integrated Gradient-weighted Class Activation Mapping (RSI-Grad-CAM) attribution method.

Reproductions