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Revisiting Explicit Regularization in Neural Networks for
  Well-Calibrated Predictive Uncertainty

Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty

11 June 2020
Taejong Joo
U. Chung
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty"

3 / 3 papers shown
Title
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
5,661
0
05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 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
285
9,138
0
06 Jun 2015
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