Department of Electrical Engineering, Chalmers University of Technology, Göteborg, Chalmersplatsen 4, 41296, Sweden; Department of Mathematical Sciences, Chalmers University of Technology, Göteborg, Chalmers Tvärgata 3, 41296, Sweden
Vincent Szolnoky, Viktor Andersson, Balazs Kulcsar, Rebecka Jörnsten
neural network;regularization;gradient descent;gradient similarity;noisy labels;generalization
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity