Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep
Ensembles

Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles

18 June 2019

Siddhartha Jain

Jonas W. Mueller

David K Gifford

Papers citing "Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles"

10 / 10 papers shown

Title
Likelihood-ratio-based confidence intervals for neural networks Laurens Sluijterman Eric Cator Tom Heskes UQCV 30 0 0 04 Aug 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 14 2 0 08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping Vikranth Dwaracherla Zheng Wen Ian Osband Xiuyuan Lu S. Asghari Benjamin Van Roy UQCV 24 17 0 08 Jun 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 22 68 0 05 Sep 2021
Flexible Model Aggregation for Quantile Regression Rasool Fakoor Tae-Soo Kim Jonas W. Mueller Alexander J. Smola R. Tibshirani 19 19 0 26 Feb 2021
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 16 7 0 25 Sep 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 18 71 0 15 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016