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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
Ge Liu
Jonas W. Mueller
David K Gifford
    UQCV
ArXivPDFHTML

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

13 / 13 papers shown
Title
Likelihood-ratio-based confidence intervals for neural networks
Likelihood-ratio-based confidence intervals for neural networks
Laurens Sluijterman
Eric Cator
Tom Heskes
UQCV
33
0
0
04 Aug 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
UQCV
25
2
0
08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
40
13
0
01 Feb 2023
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Jo-Lan Kuan
Jonas W. Mueller
OODD
24
27
0
07 Jul 2022
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and
  Bootstrapping
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
Vikranth Dwaracherla
Zheng Wen
Ian Osband
Xiuyuan Lu
S. Asghari
Benjamin Van Roy
UQCV
29
17
0
08 Jun 2022
Verification-Aided Deep Ensemble Selection
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
30
18
0
08 Feb 2022
Improving robustness and calibration in ensembles with diversity
  regularization
Improving robustness and calibration in ensembles with diversity regularization
H. A. Mehrtens
Camila González
Anirban Mukhopadhyay
UQCV
19
7
0
26 Jan 2022
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit
  3D Representations
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Jianxiong Shen
Adria Ruiz
Antonio Agudo
Francesc Moreno-Noguer
BDL
36
68
0
05 Sep 2021
Flexible Model Aggregation for Quantile Regression
Flexible Model Aggregation for Quantile Regression
Rasool Fakoor
Tae-Soo Kim
Jonas W. Mueller
Alexander J. Smola
R. Tibshirani
22
19
0
26 Feb 2021
Why have a Unified Predictive Uncertainty? Disentangling it using Deep
  Split Ensembles
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles
U. Sarawgi
W. Zulfikar
Rishab Khincha
Pattie Maes
PER
UQCV
BDL
UD
21
7
0
25 Sep 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented
  Distillation
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
Rasool Fakoor
Jonas W. Mueller
Nick Erickson
Pratik Chaudhari
Alex Smola
26
54
0
25 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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