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A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

12 November 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
Mohammad Ghavamzadeh
Paul Fieguth
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
    BDL
    UQCV
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Papers citing "A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges"

50 / 159 papers shown
Title
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
77
2
0
23 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via
  Distance-Based Regularization
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
UQCV
16
4
0
10 Nov 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based
  Emotion Recognition
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao
Xiangyao Wang
Zhenghua Chen
Min-man Wu
Zhipeng Cai
Lulu Zhao
Jianqing Li
Chengyu Liu
25
9
0
22 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
26
4
0
09 Oct 2023
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
11
1
0
11 Aug 2023
Comparing the quality of neural network uncertainty estimates for
  classification problems
Comparing the quality of neural network uncertainty estimates for classification problems
Daniel Ries
Joshua J. Michalenko
T. Ganter
R. Baiyasi
Jason Adams
UQCV
BDL
15
1
0
11 Aug 2023
Likelihood-ratio-based confidence intervals for neural networks
Likelihood-ratio-based confidence intervals for neural networks
Laurens Sluijterman
Eric Cator
Tom Heskes
UQCV
17
0
0
04 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
29
5
0
31 Jul 2023
FocalErrorNet: Uncertainty-aware focal modulation network for
  inter-modal registration error estimation in ultrasound-guided neurosurgery
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery
Soorena Salari
Amir Rasoulian
H. Rivaz
Yiming Xiao
12
6
0
26 Jul 2023
Rethinking Data Distillation: Do Not Overlook Calibration
Rethinking Data Distillation: Do Not Overlook Calibration
Dongyao Zhu
Bowen Lei
Jie M. Zhang
Yanbo Fang
Ruqi Zhang
Yiqun Xie
Dongkuan Xu
DD
FedML
11
15
0
24 Jul 2023
Function-Space Regularization for Deep Bayesian Classification
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCV
BDL
28
1
0
12 Jul 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with
  Variational Inference
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
Arnaud Descours
Tom Huix
Arnaud Guillin
Manon Michel
Eric Moulines
Boris Nectoux
BDL
17
1
0
10 Jul 2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator
  Capacitance Predictions
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
S. Goldenberg
M. Schram
Kishansingh Rajput
T. Britton
C. Pappas
Dawei Lu
Jared Walden
M. Radaideh
Sarah Cousineau
S. Harave
27
1
0
05 Jul 2023
Deep Huber quantile regression networks
Deep Huber quantile regression networks
Hristos Tyralis
Georgia Papacharalampous
N. Dogulu
Kwok-Pan Chun
UQCV
34
1
0
17 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Uncertainty-Aware Robust Learning on Noisy Graphs
Shuyi Chen
Kaize Ding
Shixiang Zhu
11
5
0
14 Jun 2023
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
26
27
0
09 Jun 2023
torchosr -- a PyTorch extension package for Open Set Recognition models
  evaluation in Python
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
Joanna Komorniczak
Pawel Ksieniewicz
3DV
8
3
0
16 May 2023
UQ for Credit Risk Management: A deep evidence regression approach
UQ for Credit Risk Management: A deep evidence regression approach
Ashish Dhiman
12
0
0
08 May 2023
Fairness Uncertainty Quantification: How certain are you that the model
  is fair?
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Abhishek Roy
P. Mohapatra
14
5
0
27 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image
  Reconstruction
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
Christoph Angermann
Simon Göppel
Markus Haltmeier
17
2
0
14 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
UQCV
10
2
0
08 Apr 2023
Development and Evaluation of Conformal Prediction Methods for QSAR
Development and Evaluation of Conformal Prediction Methods for QSAR
Yuting Xu
Andy Liaw
R. Sheridan
V. Svetnik
11
2
0
03 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
36
0
0
23 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey
  and the Outlook
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
Xuan Di
Rongye Shi
Zhaobin Mo
Yongjie Fu
PINN
AI4TS
AI4CE
24
28
0
03 Mar 2023
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware
  Predictions and Transfer Learning
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning
Andrea Rossi
Andrea Visentin
Diego Carraro
Steven D. Prestwich
Kenneth N. Brown
25
0
0
24 Feb 2023
PAC Prediction Sets for Large Language Models of Code
PAC Prediction Sets for Large Language Models of Code
Adam Khakhar
Stephen Mell
Osbert Bastani
20
6
0
17 Feb 2023
Realistic Conversational Question Answering with Answer Selection based
  on Calibrated Confidence and Uncertainty Measurement
Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement
Soyeong Jeong
Jinheon Baek
Sung Ju Hwang
Jong C. Park
17
2
0
10 Feb 2023
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification
  in Neural Networks
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks
Emanuele Ledda
Giorgio Fumera
Fabio Roli
BDL
UQCV
22
14
0
06 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
17
13
0
01 Feb 2023
Remote patient monitoring using artificial intelligence: Current state,
  applications, and challenges
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
T. Shaik
Xiaohui Tao
Niall Higgins
Lin Li
R. Gururajan
Xujuan Zhou
U. Acharya
8
183
0
19 Jan 2023
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for
  Reproducible and Replicable Machine Learning Workflows
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows
Line C. Pouchard
Kristofer G. Reyes
Francis J. Alexander
Byung-Jun Yoon
14
2
0
13 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal
  Difficulty Measure
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Xiaoling Zhou
Ou Wu
Weiyao Zhu
Ziyang Liang
20
2
0
12 Jan 2023
Constraining cosmological parameters from N-body simulations with
  Variational Bayesian Neural Networks
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Héctor J. Hortúa
L. '. García
Leonardo Castañeda C.
BDL
14
4
0
09 Jan 2023
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
10
5
0
15 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
22
12
0
27 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition
Introduction and Exemplars of Uncertainty Decomposition
Shuo Chen
UD
UQCV
PER
22
0
0
17 Nov 2022
Confidence-Nets: A Step Towards better Prediction Intervals for
  regression Neural Networks on small datasets
Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets
M. Altayeb
A. Elamin
Hozaifa Ahmed
Eithar Elfatih Elfadil Ibrahim
Omer Haydar
Saba Abdulaziz
Najlaa H. M. Mohamed
UQCV
11
0
0
31 Oct 2022
A view on model misspecification in uncertainty quantification
A view on model misspecification in uncertainty quantification
Yuko Kato
David Tax
Marco Loog
11
3
0
30 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional
  Networks
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang
Qinghai Zhou
Hanghang Tong
UQCV
28
21
0
12 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A
  Large-Scale Empirical Analysis
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao
Paul Pu Liang
Umang Bhatt
W. Neiswanger
Ruslan Salakhutdinov
Louis-Philippe Morency
173
86
0
10 Oct 2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in
  Neural Radiance Fields
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
Niko Sünderhauf
Jad Abou-Chakra
Dimity Miller
UQCV
65
53
0
19 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic
  Neural Network
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
T. Kanazawa
Chetan Gupta
UQCV
17
4
0
17 Sep 2022
A review of predictive uncertainty estimation with machine learning
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis
Georgia Papacharalampous
UD
UQCV
48
42
0
17 Sep 2022
Non-invasive Localization of the Ventricular Excitation Origin Without
  Patient-specific Geometries Using Deep Learning
Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learning
N. Pilia
S. Schuler
Maike Rees
Gerald Moik
D. Potyagaylo
O. Dössel
A. Loewe
13
14
0
16 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A
  Survey
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
S. Sun
AI4CE
23
10
0
08 Sep 2022
Interpretable Uncertainty Quantification in AI for HEP
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
17
7
0
05 Aug 2022
Compound Density Networks for Risk Prediction using Electronic Health
  Records
Compound Density Networks for Risk Prediction using Electronic Health Records
Yuxi Liu
S. Qin
Zhenhao Zhang
Wei Shao
BDL
6
9
0
02 Aug 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network
  Prediction
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
Hu Wang
Jianpeng Zhang
Yuanhong Chen
Congbo Ma
Jodie Avery
Louise Hull
G. Carneiro
UQCV
12
18
0
22 Jul 2022
Level Set-Based Camera Pose Estimation From Multiple 2D/3D
  Ellipse-Ellipsoid Correspondences
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences
Matthieu Zins
Gilles Simon
M. Berger
9
7
0
16 Jul 2022
Virtual stain transfer in histology via cascaded deep neural networks
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang
Bijie Bai
Yijie Zhang
Yuzhu Li
Kevin de Haan
Tairan Liu
Aydogan Ozcan
MedIm
13
27
0
14 Jul 2022
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