Who Cited It

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

2014 · 25,048 citations · 27 from inside this corpus

Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio

Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014.

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Long Short-Term Memory (1997)Long Short-Term MemoryDistributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…Deep Sparse Rectifier Neural Networks (2011)Deep Sparse Rectifier Neural …Statistical phrase-based translation (2003)Statistical phrase-based tran…Europarl: A Parallel Corpus for Statistical Machine Translation (2005)Europarl: A Parallel Corpus f…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…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…Graph neural networks: A review of methods and applications (2020)Graph neural networks: A revi…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020)CodeBERT: A Pre-Trained Model…All-optical machine learning using diffractive deep neural networks (2018)All-optical machine learning …Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]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…Deep Speech 2: End-to-End Speech Recognition in English and Mandarin (2015)Deep Speech 2: End-to-End Spe…Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (2017)Power of Deep Learning for Ch…Deep learning for sentiment analysis: A survey (2018)Review of Deep Learning Algorithms and Architectures (2019)Review of Deep Learning Algor…Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2017)Google’s Multilingual Neural …Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models (2016)Building End-To-End Dialogue …Deep Learning on Graphs: A Survey (2020)Deep Learning on Graphs: A Su…Document Modeling with Gated Recurrent Neural Network for Sentiment Classification (2015)Document Modeling with Gated …Graph Neural Networks: A Review of Methods and Applications (2018)Graph Neural Networks: A Revi…Incorporating Copying Mechanism in Sequence-to-Sequence Learning (2016)Incorporating Copying Mechani…An Empirical Exploration of Recurrent Network Architectures (2015)An Empirical Exploration of R…A Survey on Deep Learning (2018)A Survey on Deep Learning
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What this paper cites, inside the corpus

What cites it, inside the corpus

PaperYearCited
A survey on deep learning in medical image analysis201715,110
A Comprehensive Survey on Graph Neural Networks20209,855
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
Graph neural networks: A review of methods and applications20205,808
A Comprehensive Survey on Graph Neural Networks20203,307
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Deep learning and its applications to machine health monitoring20182,803
CodeBERT: A Pre-Trained Model for Programming and Natural Languages20202,630
All-optical machine learning using diffractive deep neural networks20182,553
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc…20212,537
[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
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin20152,181
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems20172,053
Deep learning for sentiment analysis: A survey20181,918
Review of Deep Learning Algorithms and Architectures20191,878
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation20171,759
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models20161,725
Deep Learning on Graphs: A Survey20201,560
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification20151,548
Graph Neural Networks: A Review of Methods and Applications20181,448
Incorporating Copying Mechanism in Sequence-to-Sequence Learning20161,442
An Empirical Exploration of Recurrent Network Architectures20151,406
A Survey on Deep Learning20181,398

Topics

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

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