Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling

6 March 2020

Papers citing "Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling"

5 / 5 papers shown

Title
Estimating Confidence of Predictions of Individual Classifiers and Their Ensembles for the Genre Classification Task Mikhail Lepekhin S. Sharoff UQCV 14 5 0 15 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 273 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Determinantal point processes for machine learning Alex Kulesza B. Taskar 162 1,122 0 25 Jul 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012