When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps

no code implementations • 13 Oct 2021 • Jan Rosenzweig, Zoran Cvetkovic, Ivana Rosenzweig

However, the success of saliency maps has been at best limited, mainly due to the fact that they interpret the underlying learning system through a linear approximation.