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Learn-By-Calibrating: Using Calibration as a Training Objective

Learn-By-Calibrating: Using Calibration as a Training Objective

30 October 2019
Jayaraman J. Thiagarajan
Bindya Venkatesh
Deepta Rajan
    UQCV
ArXivPDFHTML

Papers citing "Learn-By-Calibrating: Using Calibration as a Training Objective"

3 / 3 papers shown
Title
Designing Accurate Emulators for Scientific Processes using
  Calibration-Driven Deep Models
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models
Jayaraman J. Thiagarajan
Bindya Venkatesh
Rushil Anirudh
P. Bremer
J. Gaffney
G. Anderson
B. Spears
23
21
0
05 May 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
280
5,695
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
289
9,167
0
06 Jun 2015
1