Who Cited It

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

2011 · IEEE Transactions on Audio Speech and Language Processing · 3,089 citations · 25 from inside this corpus

George E. Dahl, Dong Yu low, Li Deng, Alex Acero

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.

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Learning representations by back-propagating errors (1986)Learning representations by b…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…Advances in Neural Information Processing Systems 19 (2007)Advances in Neural Informatio…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Learning Deep Architectures for AI (2009)Learning Deep Architectures f…A unified architecture for natural language processing (2008)A unified architecture for na…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Training Products of Experts by Minimizing Contrastive Divergence (2002)Training Products of Experts …Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Acoustic Modeling Using Deep Belief Networks (2011)Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…DeepWalk (2014)DeepWalkImproving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition (2019)SpecAugment: A Simple Data Au…On the importance of initialization and momentum in deep learning (2013)On the importance of initiali…Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla… (2014)Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Long short-term memory recurrent neural network architectures for large scale acoustic mo… (2014)Long short-term memory recurr…Deep learning applications and challenges in big data analytics (2015)Deep learning applications an…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)Deep Speech 2: End-to-End Spe…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Deep Learning: Methods and Applications (2014)Acoustic Modeling Using Deep Belief Networks (2011)Deep Speech: Scaling up end-to-end speech recognition (2014)Deep Speech: Scaling up end-t…End-to-End Training of Deep Visuomotor Policies (2015)End-to-End Training of Deep V…A Survey on Deep Learning (2018)
36 of 36 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
Learning representations by back-propagating errors198631,688
Reducing the Dimensionality of Data with Neural Networks200621,247
A Fast Learning Algorithm for Deep Belief Nets200616,540
Advances in Neural Information Processing Systems 19200715,653
Understanding the difficulty of training deep feedforward neural networks201012,673
Learning Deep Architectures for AI20096,951
A unified architecture for natural language processing20085,207
Learning Deep Architectures for AI20095,077
Training Products of Experts by Minimizing Contrastive Divergence20025,032
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Acoustic Modeling Using Deep Belief Networks20111,752

What cites it, inside the corpus

PaperYearCited
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
Deep learning in neural networks: An overview201418,236
Sequence to Sequence Learning with Neural Networks201413,351
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
DeepWalk20148,670
Improving neural networks by preventing co-adaptation of feature detectors20126,653
ADADELTA: An Adaptive Learning Rate Method20125,532
Playing Atari with Deep Reinforcement Learning20135,104
The Limitations of Deep Learning in Adversarial Settings20163,980
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition20193,619
On the importance of initialization and momentum in deep learning20133,523
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…20143,518
Sequence to Sequence Learning with Neural Networks20143,514
A survey of deep neural network architectures and their applications20163,285
Long short-term memory recurrent neural network architectures for large scale acoustic mo…20142,986
Deep learning applications and challenges in big data analytics20152,610
Convolutional Neural Networks for Speech Recognition20142,304
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin20152,181
Learning deep structured semantic models for web search using clickthrough data20132,099
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Deep Learning: Methods and Applications20141,801
Acoustic Modeling Using Deep Belief Networks20111,752
Deep Speech: Scaling up end-to-end speech recognition20141,519
End-to-End Training of Deep Visuomotor Policies20151,400
A Survey on Deep Learning20181,398

Links

DOI · OpenAlex record

Topics

Speech Recognition and SynthesisComputer Science
Music and Audio ProcessingComputer Science
Speech and Audio ProcessingComputer Science

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