Graph Spectral Regularization accepted at ICLR workshop
“Graph Spectral Regularization for Neural Network Interpretability”
In this paper we propose a novel class of Graph Spectral Regularizations for making hidden layers of neural networks interpretable
We regularize the activations of a hidden layer using a predefined or learned graph: