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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
Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation
Lars Schmarje
Vasco Grossmann
Claudius Zelenka
S. Dippel
R. Kiko
...
M. Pastell
J. Stracke
A. Valros
N. Volkmann
Reinahrd Koch
31
34
0
13 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
22
4
0
11 Jul 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei-Neng Chen
AI4CE
31
11
0
11 Jul 2022
Unsupervised Joint Image Transfer and Uncertainty Quantification Using
  Patch Invariant Networks
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
Christoph Angermann
Markus Haltmeier
Ahsan Raza Siyal
33
3
0
09 Jul 2022
Stochastic Poisson Surface Reconstruction
Stochastic Poisson Surface Reconstruction
Silvia Sellán
Alec Jacobson
20
25
0
30 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects
Interpretable Deep Causal Learning for Moderation Effects
A. Caron
G. Baio
I. Manolopoulou
CML
OOD
17
2
0
21 Jun 2022
A review of machine learning concepts and methods for addressing
  challenges in probabilistic hydrological post-processing and forecasting
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting
Georgia Papacharalampous
Hristos Tyralis
AI4CE
22
28
0
17 Jun 2022
When to intervene? Prescriptive Process Monitoring Under Uncertainty and
  Resource Constraints
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints
Mahmoud Shoush
Marlon Dumas
19
12
0
15 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
19
17
0
13 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep
  Noise Neural Networks
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
Daiwei Zhang
Tianci Liu
Jian Kang
BDL
UQCV
17
2
0
12 Jun 2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty
  in Graph Neural Networks
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks
Sai Munikoti
D. Agarwal
Laya Das
Balasubramaniam Natarajan
BDL
UD
18
13
0
20 May 2022
Multifidelity data fusion in convolutional encoder/decoder networks
Multifidelity data fusion in convolutional encoder/decoder networks
Lauren Partin
Gianluca Geraci
A. Rushdi
M. Eldred
Daniele E. Schiavazzi
UQCV
AI4CE
12
13
0
10 May 2022
Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization
  in Harsh Urban Environments
Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments
Daniel Neamati
Sriramya Bhamidipati
G. Gao
14
1
0
30 Apr 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Matias Valdenegro-Toro
Daniel Saromo
UD
PER
BDL
UQCV
8
76
0
20 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
10
84
0
13 Apr 2022
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and
  Development
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development
Kevin Luxem
Jennifer J. Sun
S. P. Bradley
K. Krishnan
Eric A. Yttri
Jan Zimmermann
Talmo D. Pereira
M. Laubach
26
35
0
06 Apr 2022
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer
  Classification
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
Angelica I. Aviles-Rivero
Christina Runkel
Nicolas Papadakis
Zoe Kourtzi
Carola-Bibiane Schönlieb
DiffM
MedIm
6
17
0
04 Apr 2022
Object Detection as Probabilistic Set Prediction
Object Detection as Probabilistic Set Prediction
Georg Hess
Christoffer Petersson
Lennart Svensson
19
5
0
15 Mar 2022
SLAM-Supported Self-Training for 6D Object Pose Estimation
SLAM-Supported Self-Training for 6D Object Pose Estimation
Ziqian Lu
Yihao Zhang
Kevin Doherty
Odin Severinsen
Ethan Yang
John J. Leonard
48
10
0
08 Mar 2022
Stochastic Modeling of Inhomogeneities in the Aortic Wall and
  Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
Sascha Ranftl
Malte Rolf-Pissarczyk
G. Wolkerstorfer
Antonio Pepe
Jan Egger
W. Linden
G. Holzapfel
21
9
0
21 Feb 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
Paz Fink Shustin
Shashanka Ubaru
Vasileios Kalantzis
L. Horesh
H. Avron
13
2
0
10 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
Bernd Bischl
16
3
0
31 Jan 2022
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
8
263
0
06 Dec 2021
Statistical Perspectives on Reliability of Artificial Intelligence
  Systems
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Yili Hong
J. Lian
Li Xu
Jie Min
Yueyao Wang
Laura J. Freeman
Xinwei Deng
22
30
0
09 Nov 2021
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting
  Concealed Baggage Threats
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Muhammad Shafay
Taimur Hassan
Ernesto Damiani
N. Werghi
14
9
0
04 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node
  Classification
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler
Bertrand Charpentier
Simon Geisler
Daniel Zügner
Stephan Günnemann
UQCV
BDL
28
80
0
26 Oct 2021
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained
  Inter-species Classification
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
Feras Albardi
H. M. D. Kabir
Mahbubul I Bhuiyan
P. Kebria
Abbas Khosravi
S. Nahavandi
14
19
0
14 Oct 2021
An Uncertainty-aware Loss Function for Training Neural Networks with
  Calibrated Predictions
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
Afshar Shamsi
Hamzeh Asgharnezhad
AmirReza Tajally
Saeid Nahavandi
Henry Leung
UQCV
31
5
0
07 Oct 2021
Bayesian deep learning of affordances from RGB images
Bayesian deep learning of affordances from RGB images
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
UQCV
BDL
16
0
0
27 Sep 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy
  Response Prediction
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
Tareen Dawood
C. L. P. Chen
R. Andlauer
B. Sidhu
B. Ruijsink
...
Vishal S. Mehta
C. Rinaldi
Esther Puyol-Antón
Reza Razavi
A. King
10
2
0
22 Sep 2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble
  for Breast Cancer Histology Image Classification
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy
M. Abdelsamea
M. Gaber
Moloud Abdar
R. Acharya
Abbas Khosravi
S. Nahavandi
10
56
0
24 Aug 2021
PI3NN: Out-of-distribution-aware prediction intervals from three neural
  networks
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
Si-Yuan Liu
Pei Zhang
Dan Lu
Guannan Zhang
OODD
14
10
0
05 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for
  Dynamic Control
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
Xin-Yang Liu
Jian-Xun Wang
AI4CE
10
37
0
31 Jul 2021
Neural Networks for Parameter Estimation in Intractable Models
Neural Networks for Parameter Estimation in Intractable Models
Amanda Lenzi
J. Bessac
J. Rudi
Michael L. Stein
BDL
16
45
0
29 Jul 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
GoTube: Scalable Stochastic Verification of Continuous-Depth Models
Sophie Gruenbacher
Mathias Lechner
Ramin Hasani
Daniela Rus
T. Henzinger
S. Smolka
Radu Grosu
11
17
0
18 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical
  Regions in Neural Networks
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks
Ismail Alarab
S. Prakoonwit
AAML
19
14
0
15 Jul 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
28
1,103
0
07 Jul 2021
Improving black-box optimization in VAE latent space using decoder
  uncertainty
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin
José Miguel Hernández-Lobato
Y. Gal
19
61
0
30 Jun 2021
Learning to Map for Active Semantic Goal Navigation
Learning to Map for Active Semantic Goal Navigation
G. Georgakis
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Kostas Daniilidis
25
73
0
29 Jun 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
18
4
0
21 Jun 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
UQCV
MedIm
27
11
0
21 Jun 2021
Uncertainty quantification and exploration-exploitation trade-off in
  humans
Uncertainty quantification and exploration-exploitation trade-off in humans
Antonio Candelieri
Andrea Ponti
F. Archetti
6
4
0
05 Feb 2021
Machine-learning enhanced dark soliton detection in Bose-Einstein
  condensates
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates
Shangjie Guo
A. R. Fritsch
Craig S. Greenberg
I. Spielman
Justyna P. Zwolak
16
17
0
14 Jan 2021
CHS-Net: A Deep learning approach for hierarchical segmentation of
  COVID-19 infected CT images
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Narinder Singh Punn
Sonali Agarwal
24
31
0
13 Dec 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
42
102
0
24 Aug 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDL
UQCV
69
31
0
02 Mar 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image
  Classification
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Matias Valdenegro-Toro
UQCV
56
51
0
17 Oct 2019
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLM
VLM
250
926
0
24 Sep 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View
  Co-Training
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia
Fengze Liu
D. Yang
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
175
123
0
29 Nov 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
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