Uncertainty Estimation of Deep Neural Networks Under Weight Perturbations
When deployed on unreliable hardware, deep neural networks (DNNs) encounter weight perturbations that affect model outputs, increasing uncertainty and posing significant risks to the application of deep learning in safety-critical domains. Current uncertainty estimation approaches generally ignore the influence of weig...