Who Cited It

Sequence to Sequence Learning with Neural Networks

2014 · arXiv (Cornell University) · 13,351 citations · 32 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)BLEULearning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…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:…On the difficulty of training Recurrent Neural Networks (2012)On the difficulty of training…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…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Effective Approaches to Attention-based Neural Machine Translation (2015)Effective Approaches to Atten…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…On the Properties of Neural Machine Translation: Encoder–Decoder Approaches (2014)On the Properties of Neural M…Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network (2020)Fundamentals of Recurrent Neu…Get To The Point: Summarization with Pointer-Generator Networks (2017)Get To The Point: Summarizati…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions (2018)Natural TTS Synthesis by Cond…CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020)CodeBERT: A Pre-Trained Model…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Listen, attend and spell: A neural network for large vocabulary conversational speech rec… (2016)Listen, attend and spell: A n…Recurrent Neural Network Regularization (2014)Recurrent Neural Network Regu…Longformer: The Long-Document Transformer (2020)Longformer: The Long-Document…Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey (2018)Threat of Adversarial Attacks…Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen… (2017)Supervised Learning of Univer…A Diversity-Promoting Objective Function for Neural Conversation Models (2016)A Diversity-Promoting Objecti…Adversarial Examples: Attacks and Defenses for Deep Learning (2019)Adversarial Examples: Attacks…CatBoost for big data: an interdisciplinary review (2020)CatBoost for big data: an int…Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2017)Google’s Multilingual Neural …Tacotron: Towards End-to-End Speech Synthesis (2017)Advances in natural language processing (2015)Advances in natural language …Deep Learning for Anomaly Detection: A Review (2020)Deep Learning for Anomaly Det…
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What this paper cites, inside the corpus

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Effective Approaches to Attention-based Neural Machine Translation20158,617
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]7,291
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches20146,683
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network20205,639
Get To The Point: Summarization with Pointer-Generator Networks20173,935
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
Deep learning for healthcare: review, opportunities and challenges20173,115
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions20182,708
CodeBERT: A Pre-Trained Model for Programming and Natural Languages20202,630
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]2,485
Listen, attend and spell: A neural network for large vocabulary conversational speech rec…20162,359
Recurrent Neural Network Regularization20142,289
Longformer: The Long-Document Transformer20202,206
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey20182,090
Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…20172,077
A Diversity-Promoting Objective Function for Neural Conversation Models20162,061
Adversarial Examples: Attacks and Defenses for Deep Learning20191,786
CatBoost for big data: an interdisciplinary review20201,776
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation20171,759
Tacotron: Towards End-to-End Speech Synthesis20171,749
Advances in natural language processing20151,732
Deep Learning for Anomaly Detection: A Review20201,731

Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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  • supports3 author record(s) attached.
  • supports29 reference(s) recorded.
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  • supportsA title is present.

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