Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning
arXiv:2604.12719v1 Announce Type: cross
Abstract: The deployment of deep neural networks in safety-critical systems necessitates reliable and efficient uncertainty quantification (UQ). A practical and widespread strategy for UQ is repurposing stochast…