SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation
arXiv:2604.25315v1 Announce Type: new
Abstract: Gradient-based saliency methods are widely used to interpret deep neural networks, yet they often produce noisy and unstable explanations that poorly align with semantically meaningful input features. We…