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Single Shot MC Dropout Approximation

Single Shot MC Dropout Approximation

7 July 2020
K. Brach
Beate Sick
Oliver Durr
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Single Shot MC Dropout Approximation"

4 / 4 papers shown
Title
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU
  Nonlinearity
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity
Yuki Hirayama
Sinya Takamaeda-Yamazaki
BDL
32
0
0
24 Nov 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
24
58
0
03 Nov 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
276
5,675
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
287
9,156
0
06 Jun 2015
1