Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning

Adam T. Müller, Tobias Rögelein, Nicolaj C. Stache

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…