Who Cited It

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

2021 · Information Fusion · 2,644 citations · 0 from inside this corpus

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.

A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Auto-Encoding Variational Bayes (2013)Auto-Encoding Variational Bay…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Advances in Neural Information Processing Systems 28 (2015)Advances in Neural Informatio…Advances in neural information processing systems 7 (1996)Advances in neural informatio…Advances in Neural Information Processing Systems 29 (2016)Advances in Neural Informatio…Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…Attention Is All You Need (2025)Attention Is All You NeedInformation theory, inference, and learning algorithms (2004)Information theory, inference…Intriguing properties of neural networks (2013)Intriguing properties of neur…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Information Theory, Inference, and Learning Algorithms (2004)Information Theory, Inference…Bayesian Learning for Neural Networks (1996)Bayesian Learning for Neural …Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning (2015)Dropout as a Bayesian Approxi…Variational Inference: A Review for Statisticians (2017)Variational Inference: A Revi…An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles (2016)Simple and Scalable Predictiv…Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (2015)Dropout as a Bayesian Approxi…What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)What Uncertainties Do We Need…Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…On Calibration of Modern Neural Networks (2017)On Calibration of Modern Neur…Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (2018)Proceedings of the 2018 Confe…Neural Tangent Kernel: Convergence and Generalization in Neural Networks (2018)Neural Tangent Kernel: Conver…Bayesian learning via stochastic gradient langevin dynamics (2011)Bayesian learning via stochas…2011 International Joint Conference on Neural Networks (2010)2011 International Joint Conf…Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…
28 of 28 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
Dropout: a simple way to prevent neural networks from overfitting201434,236
Learning Internal Representations by Error Propagation198516,273
Auto-Encoding Variational Bayes201315,583
A survey on deep learning in medical image analysis201715,110
Advances in Neural Information Processing Systems 28201514,672
Advances in neural information processing systems 7199614,393
Advances in Neural Information Processing Systems 29201613,474
Gaussian Processes for Machine Learning200510,470
Attention Is All You Need20257,133
Information theory, inference, and learning algorithms20046,580
Intriguing properties of neural networks20135,739
Practical Bayesian Optimization of Machine Learning Algorithms20125,674
Information Theory, Inference, and Learning Algorithms20045,059
Bayesian Learning for Neural Networks19964,397
Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning20154,187
Variational Inference: A Review for Statisticians20173,843
An Introduction to Variational Methods for Graphical Models19993,793
Simple and Scalable Predictive Uncertainty Estimation using Deep\n Ensembles20163,010
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning20152,672
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?20172,537
Variational Inference: A Review for Statisticians20232,169
On Calibration of Modern Neural Networks20171,741
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing20181,660
Neural Tangent Kernel: Convergence and Generalization in Neural Networks20181,489
Bayesian learning via stochastic gradient langevin dynamics20111,487
2011 International Joint Conference on Neural Networks20101,471
Graph Neural Networks: A Review of Methods and Applications20181,448

Links

DOI · Open access copy · OpenAlex record

Topics

Anomaly Detection Techniques and ApplicationsComputer Science
Adversarial Robustness in Machine LearningComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports12 author record(s) attached.
  • supports1,221 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…