Who Cited It

Sequence to Sequence Learning with Neural Networks

2014 · arXiv (Cornell University) · 3,514 citations · 12 from inside this corpus

Ilya Sutskever, Oriol Vinyals, Quoc V. Le

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.

Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Long Short-Term Memory (1997)Long Short-Term MemoryLearning representations by back-propagating errors (1986)Learning representations by b…BLEU (2001)BLEUEfficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Connectionist temporal classification (2006)Connectionist temporal classi…Recurrent neural network based language model (2010)Recurrent neural network base…Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…LSTM neural networks for language modeling (2012)LSTM neural networks for lang…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Neural Machine Translation by Jointly Learning to Align and Translate (2014)Neural Machine Translation by…A guide to deep learning in healthcare (2018)A guide to deep learning in h…An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode… (2018)An Empirical Evaluation of Ge…Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Convolutional Sequence to Sequence Learning (2017)Convolutional Sequence to Seq…Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models (2016)Building End-To-End Dialogue …Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Deep Speech: Scaling up end-to-end speech recognition (2014)Deep Speech: Scaling up end-t…Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activa… (2016)Quantized Neural Networks: Tr…
23 of 23 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
Learning representations by back-propagating errors198631,688
BLEU200121,963
Efficient Estimation of Word Representations in Vector Space201311,714
Connectionist temporal classification20065,582
Recurrent neural network based language model20105,432
Backpropagation through time: what it does and how to do it19904,971
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…20143,518
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
LSTM neural networks for language modeling20121,996
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907

What cites it, inside the corpus

PaperYearCited
Neural Machine Translation by Jointly Learning to Align and Translate201414,615
A guide to deep learning in healthcare20185,126
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…20184,364
Relational inductive biases, deep learning, and graph networks20182,406
Probabilistic machine learning and artificial intelligence20152,031
Teaching Machines to Read and Comprehend20151,939
Convolutional Sequence to Sequence Learning20171,903
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models20161,725
Pre-trained models for natural language processing: A survey20201,521
Teaching Machines to Read and Comprehend20151,519
Deep Speech: Scaling up end-to-end speech recognition20141,519
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activa…20161,420

Links

Open access copy · OpenAlex record

Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Speech Recognition and SynthesisComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports29 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 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…