Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals

27 April 2021

Papers citing "Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals"

6 / 6 papers shown

Title
Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation Burcu Ozek Zhenyuan Lu S. Radhakrishnan S. Kamarthi 17 2 0 14 Nov 2023
Quantile Extreme Gradient Boosting for Uncertainty Quantification Xiaozhe Yin Masoud Fallah-Shorshani R. McConnell S. Fruin Yao-Yi Chiang M. Franklin UQCV 16 2 0 23 Apr 2023
Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment Binay Gupta Anirban Chatterjee Harika Matha Kunal Banerjee Lalitdutt Parsai Vijay Srinivas Agneeswaran 11 2 0 18 Aug 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013