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Dense Uncertainty Estimation

Dense Uncertainty Estimation

13 October 2021
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Dense Uncertainty Estimation"

8 / 8 papers shown
Title
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
174
61
0
16 Feb 2021
Multi-Stage Progressive Image Restoration
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
92
1,129
0
04 Feb 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
147
140
0
14 Dec 2020
Scalable Uncertainty for Computer Vision with Functional Variational
  Inference
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho
R. Clark
Andrea Nicastro
Paul H. J. Kelly
BDL
UQCV
33
21
0
06 Mar 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
251
4,940
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
178
710
0
06 Jun 2015
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
222
8,157
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
115
3,026
0
09 Jun 2012
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