H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers
arXiv:2604.22045v1 Announce Type: cross
Abstract: Feature attribution methods explain the predictions of deep neural networks by assigning importance scores to individual input features. However, most existing methods focus solely on marginal effects,…