Who Cited It

Deep Learning: Methods and Applications

2014 · now publishers, Inc. eBooks · 1,801 citations · 6 from inside this corpus

Li Deng

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.

Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…Long Short-Term Memory (1997)Long Short-Term MemoryA tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Introduction to information retrieval (2009)Introduction to information r…Machine learning a probabilistic perspective (2012)Machine learning a probabilis…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Stacked generalization (1992)Stacked generalizationRecursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Connectionist temporal classification (2006)Connectionist temporal classi…Recurrent neural network based language model (2010)Recurrent neural network base…Deep Sparse Rectifier Neural Networks (2011)Deep Sparse Rectifier Neural …A unified architecture for natural language processing (2008)A unified architecture for na…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…A direct adaptive method for faster backpropagation learning: the RPROP algorithm (2002)A direct adaptive method for …On the difficulty of training Recurrent Neural Networks (2012)On the difficulty of training…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…DeViSE: A Deep Visual-Semantic Embedding Model (2013)DeViSE: A Deep Visual-Semanti…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Hybrid speech recognition with Deep Bidirectional LSTM (2013)Hybrid speech recognition wit…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep learning and its applications to machine health monitoring (2018)Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…Ensemble deep learning: A review (2022)Ensemble deep learning: A rev…Artificial intelligence in digital pathology — new tools for diagnosis and precision onco… (2019)Artificial intelligence in di…
36 of 39 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
Long Short-Term Memory1997101,359
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Reducing the Dimensionality of Data with Neural Networks200621,247
Efficient Estimation of Word Representations in Vector Space201318,186
A Fast Learning Algorithm for Deep Belief Nets200616,540
Understanding the difficulty of training deep feedforward neural networks201012,673
Introduction to information retrieval200912,588
Machine learning a probabilistic perspective20129,324
Speech recognition with deep recurrent neural networks20138,916
Learning long-term dependencies with gradient descent is difficult19948,610
Stacked generalization19927,777
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Improving neural networks by preventing co-adaptation of feature detectors20126,653
Practical Bayesian Optimization of Machine Learning Algorithms20125,674
Connectionist temporal classification20065,582
Recurrent neural network based language model20105,432
Deep Sparse Rectifier Neural Networks20115,428
A unified architecture for natural language processing20085,207
Natural Language Processing (almost) from Scratch20115,174
Learning Deep Architectures for AI20095,077
A direct adaptive method for faster backpropagation learning: the RPROP algorithm20023,936
On the difficulty of training Recurrent Neural Networks20123,801
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Phoneme recognition using time-delay neural networks19892,650
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Learning deep structured semantic models for web search using clickthrough data20132,099
DeViSE: A Deep Visual-Semantic Embedding Model20132,068
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Hybrid speech recognition with Deep Bidirectional LSTM20131,804

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
Deep learning and its applications to machine health monitoring20182,803
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…20212,537
Ensemble deep learning: A review20222,136
Artificial intelligence in digital pathology — new tools for diagnosis and precision onco…20191,680

Links

DOI · OpenAlex record

Topics

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

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complete

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

  • supports1 author record(s) attached.
  • supports427 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…