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A Simple Probabilistic Method for Deep Classification under
  Input-Dependent Label Noise

A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise

15 March 2020
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
    UQCV
    NoLa
ArXivPDFHTML

Papers citing "A Simple Probabilistic Method for Deep Classification under Input-Dependent Label Noise"

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
270
5,660
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
261
9,134
0
06 Jun 2015
1