Characteristics of Monte Carlo Dropout in Wide Neural Networks

Joachim Sicking, Maram Akila, Tim Wirtz +2

Monte Carlo (MC) dropout is one of the state-of-the-art approaches for uncertainty estimation in neural networks (NNs). It has been interpreted as approximately performing Bayesian…