Who Cited It

Reducing the Dimensionality of Data with Neural Networks

2006 · Science · 21,247 citations · 43 from inside this corpus

Geoffrey E. Hinton, Ruslan Salakhutdinov 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.

Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Indexing by latent semantic analysis (1990)Indexing by latent semantic a…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…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…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Curriculum learning (2009)Curriculum learningLearning 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…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Deep learning with coherent nanophotonic circuits (2017)Deep learning with coherent n…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Reservoir computing approaches to recurrent neural network training (2009)Reservoir computing approache…Linguistic Regularities in Continuous Space Word Representations (2013)Linguistic Regularities in Co…Structural Deep Network Embedding (2016)Structural Deep Network Embed…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Recurrent Convolutional Neural Networks for Text Classification (2015)Recurrent Convolutional Neura…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Deep Learning for Health Informatics (2016)Deep Learning for Health Info…Quantum annealing with manufactured spins (2011)Quantum annealing with manufa…Broad Learning System: An Effective and Efficient Incremental Learning System Without the… (2017)Broad Learning System: An Eff…Deep learning for sentiment analysis: A survey (2018)Deep learning for sentiment a…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Review of Deep Learning Algorithms and Architectures (2019)Review of Deep Learning Algor…Towards End-To-End Speech Recognition with Recurrent Neural Networks (2014)Towards End-To-End Speech Rec…Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E… (2016)Deep Patient: An Unsupervised…Acoustic Modeling Using Deep Belief Networks (2011)Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…
36 of 38 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 Fast Learning Algorithm for Deep Belief Nets200616,540
Indexing by latent semantic analysis199012,850

What cites it, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Dropout: a simple way to prevent neural networks from overfitting201434,236
Deep learning in neural networks: An overview201418,236
A survey on deep learning in medical image analysis201715,110
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Machine learning: Trends, perspectives, and prospects20159,947
Improving neural networks by preventing co-adaptation of feature detectors20126,653
Curriculum learning20095,154
Learning Deep Architectures for AI20095,077
Deep Learning in Medical Image Analysis20174,917
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
On the importance of initialization and momentum in deep learning20133,523
A survey of deep neural network architectures and their applications20163,285
Deep learning with coherent nanophotonic circuits20173,187
Deep learning for healthcare: review, opportunities and challenges20173,115
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Reservoir computing approaches to recurrent neural network training20092,992
Linguistic Regularities in Continuous Space Word Representations20132,885
Structural Deep Network Embedding20162,843
Deep learning applications and challenges in big data analytics20152,610
Recurrent Convolutional Neural Networks for Text Classification20152,314
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Deep Learning for Health Informatics20162,015
Quantum annealing with manufactured spins20111,952
Broad Learning System: An Effective and Efficient Incremental Learning System Without the…20171,936
Deep learning for sentiment analysis: A survey20181,918
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Review of Deep Learning Algorithms and Architectures20191,878
Towards End-To-End Speech Recognition with Recurrent Neural Networks20141,855
Deep Learning: Methods and Applications20141,801
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…20161,785
Acoustic Modeling Using Deep Belief Networks20111,752
Deep Learning for Anomaly Detection: A Review20201,731

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Model Reduction and Neural NetworksPhysics and Astronomy
Image and Signal Denoising MethodsComputer Science

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complete

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  • supports2 author record(s) attached.
  • supports9 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…