ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.06225
  4. Cited By
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
ArXivPDFHTML

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

50 / 197 papers shown
Title
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Do Bayesian Neural Networks Need To Be Fully Stochastic?
Mrinank Sharma
Sebastian Farquhar
Eric T. Nalisnick
Tom Rainforth
BDL
23
52
0
11 Nov 2022
Materials Property Prediction with Uncertainty Quantification: A
  Benchmark Study
Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
Daniel Varivoda
Rongzhi Dong
Sadman Sadeed Omee
Jianjun Hu
AI4CE
28
20
0
04 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
15
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
28
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
35
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
175
86
0
10 Oct 2022
Uncertainty estimations methods for a deep learning model to aid in
  clinical decision-making -- a clinician's perspective
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective
M. Dohopolski
Kai Wang
Biling Wang
T. Bai
D. Nguyen
David Sher
Steve B. Jiang
Jing Wang
OOD
11
5
0
02 Oct 2022
Backflipping with Miniature Quadcopters by Gaussian Process Based
  Control and Planning
Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning
Péter Antal
Tamás Péni
R. Tóth
32
8
0
29 Sep 2022
Partial sequence labeling with structured Gaussian Processes
Partial sequence labeling with structured Gaussian Processes
Xiaolei Lu
Tommy W. S. Chow
8
0
0
20 Sep 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
67
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
30
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
51
43
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
21
14
0
16 Sep 2022
Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
15
2
0
14 Sep 2022
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
Skylar E. Stolte
Kyle Volle
A. Indahlastari
Alejandro Albizu
A. Woods
Kevin Brink
Matthew Hale
R. Fang
17
5
0
13 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
32
10
0
08 Sep 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty
  Quantification and Optimization, a Battery Digital Twin, and Perspectives
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
25
86
0
27 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Zijian Gao
Yiying Li
Kele Xu
Yuanzhao Zhai
Dawei Feng
Bo Ding
Xinjun Mao
Huaimin Wang
30
0
0
24 Aug 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
30
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
21
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
14
18
0
22 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
29
52
0
19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
54
71
0
19 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
14
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
25
28
0
14 Jul 2022
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
43
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
24
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 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
28
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
21
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
27
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
32
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
35
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
31
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
27
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
14
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
29
84
0
13 Apr 2022
Automatic detection of glaucoma via fundus imaging and artificial
  intelligence: A review
Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
Lauren Coan
Bryan M. Williams
V. Adithya
S. Upadhyaya
S. Czanner
R. Venkatesh
C. Willoughby
Kavitha Srinivasan
G. Czanner
19
64
0
12 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
29
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
19
19
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
53
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
28
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
21
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
18
3
0
31 Jan 2022
The State of Aerial Surveillance: A Survey
The State of Aerial Surveillance: A Survey
Kien Nguyen Thanh
Clinton Fookes
S. Sridharan
Yingli Tian
Feng Liu
Xiaoming Liu
Arun Ross
32
23
0
09 Jan 2022
Benchmarking Uncertainty Quantification on Biosignal Classification
  Tasks under Dataset Shift
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift
Tong Xia
Jing Han
Cecilia Mascolo
OOD
21
10
0
16 Dec 2021
Previous
1234
Next