Characteristics of Monte Carlo Dropout in Wide Neural Networks

10 Jul 2020Joachim SickingMaram AkilaTim WirtzSebastian HoubenAsja Fischer

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 inference... (read more)

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