Representation of uncertainty in deep neural networks through sampling

By Patrick McClure, Nikolaus Kriegeskorte. 2016

8 citations recorded by the source corpus.

Citations in the corpus

• Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences (2018, unknown): “Recently, a Bayesian interpretation of multiplicative noise is employed to estimate uncertainty in deep neural networks [3, 15].”