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Out-of-distribution detection for regression tasks: parameter versus
  predictor entropy

Out-of-distribution detection for regression tasks: parameter versus predictor entropy

24 October 2020
Y. Pequignot
Mathieu Alain
Patrick Dallaire
Alireza Yeganehparast
Pascal Germain
Josée Desharnais
Franccois Laviolette
    OODD
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Papers citing "Out-of-distribution detection for regression tasks: parameter versus predictor entropy"

2 / 2 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
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
1