Who Cited It

Bayesian Learning for Neural Networks

1996 · Lecture notes in statistics · 4,397 citations · 19 from inside this corpus

Radford M. Neal

No abstract in the source record.

Bayesian Learning for Neural Networks (1996)Bayesian Learning for Neural …Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Gaussian Processes for Machine Learning (2005)Gaussian Processes for Machin…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning (2015)Dropout as a Bayesian Approxi…Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (2015)Dropout as a Bayesian Approxi…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)What Uncertainties Do We Need…A gentle tutorial of the em algorithm and its application to parameter estimation for Gau… (1998)A gentle tutorial of the em a…An Introduction to MCMC for Machine Learning (2003)An Introduction to MCMC for M…Logistic regression and artificial neural network classification models: a methodology re… (2002)Logistic regression and artif…Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Ensemble Machine Learning (2012)Ensemble Machine LearningGAUSSIAN PROCESSES FOR MACHINE LEARNING (2004)GAUSSIAN PROCESSES FOR MACHIN…Adaptive Computation and Machine Learning (2012)Adaptive Computation and Mach…Slice sampling (2003)Slice sampling
19 of 19 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 cites it, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
Deep learning in neural networks: An overview201418,236
Gaussian Processes for Machine Learning200510,470
Improving neural networks by preventing co-adaptation of feature detectors20126,653
Natural Language Processing (almost) from Scratch20115,174
Learning Deep Architectures for AI20095,077
Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning20154,187
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning20152,672
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?20172,537
A gentle tutorial of the em algorithm and its application to parameter estimation for Gau…19982,510
An Introduction to MCMC for Machine Learning20032,430
Logistic regression and artificial neural network classification models: a methodology re…20022,201
Variational Inference: A Review for Statisticians20232,169
Probabilistic machine learning and artificial intelligence20152,031
Ensemble Machine Learning20121,653
GAUSSIAN PROCESSES FOR MACHINE LEARNING20041,486
Adaptive Computation and Machine Learning20121,437
Slice sampling20031,367

Links

DOI · OpenAlex record

Topics

Bayesian Modeling and Causal InferenceComputer Science
Neural Networks and ApplicationsComputer Science
Fault Detection and Control SystemsEngineering

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports1 author record(s) attached.
  • weakensNo references are recorded despite 4,397 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…