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Likelihood Annealing: Fast Calibrated Uncertainty for Regression

Likelihood Annealing: Fast Calibrated Uncertainty for Regression

21 February 2023
Uddeshya Upadhyay
Jae Myung Kim
Cordelia Schmidt
Bernhard Schölkopf
Zeynep Akata
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Likelihood Annealing: Fast Calibrated Uncertainty for Regression"

3 / 3 papers shown
Title
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
33
21
0
07 Oct 2021
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
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1