Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength

13 October 2021

Papers citing "Dropout Prediction Uncertainty Estimation Using Neuron Activation Strength"

6 / 6 papers shown

Title
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 18 19 0 19 Oct 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 26 46 0 17 Oct 2019
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 236 381 0 09 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 251 4,940 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 178 710 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 222 8,157 0 06 Jun 2015