Who Cited It

Training Products of Experts by Minimizing Contrastive Divergence

2002 · Neural Computation · 5,032 citations · 16 from inside this corpus

Geoffrey E. Hinton

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.

Training Products of Experts by Minimizing Contrastive Divergence (2002)Training Products of Experts …A maximum entropy approach to natural language processing (1996)A maximum entropy approach to…Learning in Graphical Models (1998)Learning in Graphical ModelsComputational linguistics (1995)Computational linguisticsDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Sigmoid-weighted linear units for neural network function approximation in reinforcement … (2018)Sigmoid-weighted linear units…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Acoustic Modeling Using Deep Belief Networks (2011)Acoustic Modeling Using Deep …Feature selection, L 1 vs. L 2 regularization, and rotational invariance (2004)Feature selection, L 1 vs. L …
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.
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What this paper cites, inside the corpus

PaperYearCited
A maximum entropy approach to natural language processing19963,129
Learning in Graphical Models19982,437
Computational linguistics19951,717

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
A Fast Learning Algorithm for Deep Belief Nets200616,540
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Improving neural networks by preventing co-adaptation of feature detectors20126,653
Learning Deep Architectures for AI20095,077
Deep Learning in Medical Image Analysis20174,917
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
A survey of deep neural network architectures and their applications20163,285
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Deep learning applications and challenges in big data analytics20152,610
Convolutional Neural Networks for Speech Recognition20142,304
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Sigmoid-weighted linear units for neural network function approximation in reinforcement …20182,027
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Acoustic Modeling Using Deep Belief Networks20111,752
Feature selection, L 1 vs. L 2 regularization, and rotational invariance20041,603

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Remote-Sensing Image ClassificationEngineering
Bayesian Modeling and Causal InferenceComputer Science

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complete

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  • supports1 author record(s) attached.
  • supports24 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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