A Fast Learning Algorithm for Deep Belief Nets

2006 · Neural Computation · 16,540 citations · 51 from inside this corpus

Geoffrey E. Hinton, Simon Osindero low, Yee‐Whye Teh low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

36 of 41 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

Paper	Year	Cited
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference	1988	16,981
Training Products of Experts by Minimizing Contrastive Divergence	2002	5,032
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	2,196
Boosting a Weak Learning Algorithm by Majority	1995	1,691
Optimal unsupervised learning in a single-layer linear feedforward neural network	1989	1,533

What cites it, inside the corpus

Paper	Year	Cited
Dropout: a simple way to prevent neural networks from overfitting	2014	34,236
Reducing the Dimensionality of Data with Neural Networks	2006	21,247
Deep learning in neural networks: An overview	2014	18,236
A survey on deep learning in medical image analysis	2017	15,110
Understanding the difficulty of training deep feedforward neural networks	2010	12,673
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…	2012	10,399
A Simple Framework for Contrastive Learning of Visual Representations	2020	7,341
Deep Sparse Rectifier Neural Networks	2011	5,428
Natural Language Processing (almost) from Scratch	2011	5,174
Curriculum learning	2009	5,154
Learning Deep Architectures for AI	2009	5,077
Deep Learning in Medical Image Analysis	2017	4,917
The Limitations of Deep Learning in Adversarial Settings	2016	3,980
Unsupervised Feature Learning via Non-parametric Instance Discrimination	2018	3,640
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review	2017	3,570
On the importance of initialization and momentum in deep learning	2013	3,523
Bootstrap your own latent: A new approach to self-supervised Learning	2020	3,447
A survey of deep neural network architectures and their applications	2016	3,285
Siamese Neural Networks for One-shot Image Recognition	2015	3,253
Algorithms for Hyper-Parameter Optimization	2011	3,188
Deep learning for healthcare: review, opportunities and challenges	2017	3,115
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition	2011	3,089
Understanding Machine Learning: From Theory To Algorithms	2015	3,081
An Introduction to Deep Learning for the Physical Layer	2017	3,005
Survey on deep learning with class imbalance	2019	2,971
Structural Deep Network Embedding	2016	2,843
Deep learning and its applications to machine health monitoring	2018	2,803
Unsupervised Visual Representation Learning by Context Prediction	2015	2,699
A survey on semi-supervised learning	2019	2,636
Deep learning applications and challenges in big data analytics	2015	2,610
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…	2021	2,537

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot Learning	Computer Science
Generative Adversarial Networks and Image Synthesis	Computer Science
Neural Networks and Applications	Computer Science

Is this record sound?

complete

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

supports3 author record(s) attached.
supports31 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 2026-09-04T03:58:40+00:00.

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