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Uncertainty Estimation via Stochastic Batch Normalization

Uncertainty Estimation via Stochastic Batch Normalization

13 February 2018
Andrei Atanov
Arsenii Ashukha
Dmitry Molchanov
Kirill Neklyudov
Dmitry Vetrov
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Uncertainty Estimation via Stochastic Batch Normalization"

8 / 8 papers shown
Title
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
18
1
0
11 Aug 2023
Interactive Medical Image Segmentation with Self-Adaptive Confidence
  Calibration
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Wenhao Li
Qisen Xu
Chuyun Shen
Bin Hu
Fengping Zhu
Yuxin Li
Bo Jin
Xiangfeng Wang
24
5
0
15 Nov 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
32
1,109
0
07 Jul 2021
U-LanD: Uncertainty-Driven Video Landmark Detection
U-LanD: Uncertainty-Driven Video Landmark Detection
Mohammad Jafari
C. Luong
Michael Y. Tsang
A. Gu
N. V. Woudenberg
R. Rohling
T. Tsang
Purang Abolmaesumi
26
12
0
02 Feb 2021
Entropy Maximization and Meta Classification for Out-Of-Distribution
  Detection in Semantic Segmentation
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
35
149
0
09 Dec 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
33
314
0
15 Feb 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
273
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
285
9,136
0
06 Jun 2015
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