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Quantifying Epistemic Uncertainty in Deep Learning

Quantifying Epistemic Uncertainty in Deep Learning

Ziyi Huang
H. Lam
Haofeng Zhang
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Papers citing "Quantifying Epistemic Uncertainty in Deep Learning"

8 / 8 papers shown
Title
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h
François Desbouvries
Eric Barat
Eiji Kawasaki
UQCV
46
0
0
13 Jun 2024
Uncertainty Quantification on Graph Learning: A Survey
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
AI4CE
34
1
0
23 Apr 2024
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang
H. Lam
Haofeng Zhang
UQCV
23
4
0
09 Jun 2023
Model error and its estimation, with particular application to loss reserving
Model error and its estimation, with particular application to loss reserving
G. Taylor
G. McGuire
14
0
0
30 Sep 2022
The Infinitesimal Jackknife and Combinations of Models
The Infinitesimal Jackknife and Combinations of Models
Indrayudh Ghosal
Yunzhe Zhou
Giles Hooker
36
4
0
31 Aug 2022
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
Leonardo F. S. Scabini
B. De Baets
Odemir M. Bruno
AI4CE
23
6
0
17 Jul 2022
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