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

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

3 June 2014
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
    AIMat
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Papers citing "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation"

50 / 2,442 papers shown
Title
Deep Gate Recurrent Neural Network
Yuan Gao
D. Głowacka
19
61
0
11 Apr 2016
Neural Headline Generation with Sentence-wise Optimization
Neural Headline Generation with Sentence-wise Optimization
Ayana
Shiqi Shen
Yu Zhao
Zhiyuan Liu
Maosong Sun
16
55
0
07 Apr 2016
A Survey on Bayesian Deep Learning
A Survey on Bayesian Deep Learning
Hao Wang
Dit-Yan Yeung
BDL
14
49
0
06 Apr 2016
Generating Chinese Classical Poems with RNN Encoder-Decoder
Generating Chinese Classical Poems with RNN Encoder-Decoder
Xiaoyuan Yi
Ruoyu Li
Maosong Sun
7
109
0
06 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
12
1,704
0
02 Apr 2016
Neural Language Correction with Character-Based Attention
Neural Language Correction with Character-Based Attention
Ziang Xie
Anand Avati
N. Arivazhagan
Dan Jurafsky
A. Ng
14
142
0
31 Mar 2016
Minimal Gated Unit for Recurrent Neural Networks
Minimal Gated Unit for Recurrent Neural Networks
Guoxiang Zhou
Jianxin Wu
Chen-Da Liu-Zhang
Zhi-Hua Zhou
31
326
0
31 Mar 2016
Recurrent Batch Normalization
Recurrent Batch Normalization
Tim Cooijmans
Nicolas Ballas
César Laurent
Çağlar Gülçehre
Aaron Courville
ODL
19
410
0
30 Mar 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
18
347
0
28 Mar 2016
Pointing the Unknown Words
Pointing the Unknown Words
Çağlar Gülçehre
Sungjin Ahn
Ramesh Nallapati
Bowen Zhou
Yoshua Bengio
13
524
0
26 Mar 2016
Recurrent Neural Network Encoder with Attention for Community Question
  Answering
Recurrent Neural Network Encoder with Attention for Community Question Answering
Wei-Ning Hsu
Yu Zhang
James R. Glass
9
13
0
23 Mar 2016
Generating Factoid Questions With Recurrent Neural Networks: The 30M
  Factoid Question-Answer Corpus
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Serban
Alberto García-Durán
Çağlar Gülçehre
Sungjin Ahn
A. Chandar
Aaron Courville
Yoshua Bengio
LRM
16
287
0
22 Mar 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
36
1,351
0
21 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
V. Li
56
1,533
0
21 Mar 2016
Tree-to-Sequence Attentional Neural Machine Translation
Tree-to-Sequence Attentional Neural Machine Translation
Akiko Eriguchi
Kazuma Hashimoto
Yoshimasa Tsuruoka
AIMat
24
269
0
19 Mar 2016
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
58
1,652
0
12 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
27
360
0
09 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
20
753
0
04 Mar 2016
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations
  using Sequence-to-sequence Autoencoder
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
Yu-An Chung
Chao-Chung Wu
Chia-Hao Shen
Hung-yi Lee
Lin-Shan Lee
AI4TS
14
182
0
03 Mar 2016
Noisy Activation Functions
Noisy Activation Functions
Çağlar Gülçehre
Marcin Moczulski
Misha Denil
Yoshua Bengio
9
283
0
01 Mar 2016
Toward Mention Detection Robustness with Recurrent Neural Networks
Toward Mention Detection Robustness with Recurrent Neural Networks
Thien Huu Nguyen
Avirup Sil
Georgiana Dinu
Radu Florian
14
38
0
24 Feb 2016
Attention-Based Convolutional Neural Network for Machine Comprehension
Attention-Based Convolutional Neural Network for Machine Comprehension
Wenpeng Yin
Sebastian Ebert
Hinrich Schütze
22
99
0
13 Feb 2016
Learning Distributed Representations of Sentences from Unlabelled Data
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill
Kyunghyun Cho
Anna Korhonen
SSL
21
570
0
10 Feb 2016
Supervised and Semi-Supervised Text Categorization using LSTM for Region
  Embeddings
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
Rie Johnson
Tong Zhang
AI4TS
16
255
0
07 Feb 2016
Strongly-Typed Recurrent Neural Networks
Strongly-Typed Recurrent Neural Networks
David Balduzzi
Muhammad Ghifary
PINN
16
60
0
06 Feb 2016
Massively Multilingual Word Embeddings
Massively Multilingual Word Embeddings
Bridger Waleed Ammar
George Mulcaire
Yulia Tsvetkov
Guillaume Lample
Chris Dyer
Noah A. Smith
41
271
0
05 Feb 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
34
1,111
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural
  Networks for Low-power Neuromorphic Hardware
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
24
217
0
16 Jan 2016
Implicit Distortion and Fertility Models for Attention-based
  Encoder-Decoder NMT Model
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Shi Feng
Shujie Liu
Mu Li
M. Zhou
32
44
0
13 Jan 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
231
623
0
06 Jan 2016
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny
Ahmed Elgammal
Babak Saleh
28
41
0
31 Dec 2015
Feedforward Sequential Memory Networks: A New Structure to Learn
  Long-term Dependency
Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
Shiliang Zhang
Cong Liu
Hui Jiang
Si Wei
Lirong Dai
Yu Hu
19
75
0
28 Dec 2015
Semi-supervised Question Retrieval with Gated Convolutions
Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei
Hrishikesh Joshi
Regina Barzilay
Tommi Jaakkola
K. Tymoshenko
Alessandro Moschitti
Lluís Màrquez i Villodre
RALM
21
106
0
17 Dec 2015
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
17
1,642
0
16 Dec 2015
DNA-Level Splice Junction Prediction using Deep Recurrent Neural
  Networks
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks
Byunghan Lee
Taehoon Lee
Byunggook Na
Sungroh Yoon
17
43
0
16 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
19
2,954
0
08 Dec 2015
Learning Simple Algorithms from Examples
Learning Simple Algorithms from Examples
Wojciech Zaremba
Tomáš Mikolov
Armand Joulin
Rob Fergus
MLAU
16
100
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Adding Gradient Noise Improves Learning for Very Deep Networks
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan
Luke Vilnis
Quoc V. Le
Ilya Sutskever
Lukasz Kaiser
Karol Kurach
James Martens
AI4CE
ODL
27
541
0
21 Nov 2015
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
23
2,695
0
20 Nov 2015
Recurrent Gaussian Processes
Recurrent Gaussian Processes
C. L. C. Mattos
Zhenwen Dai
Andreas C. Damianou
Jeremy Forth
G. Barreto
Neil D. Lawrence
BDL
18
75
0
20 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
37
692
0
19 Nov 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
37
542
0
19 Nov 2015
Multi-task Sequence to Sequence Learning
Multi-task Sequence to Sequence Learning
Minh-Thang Luong
Quoc V. Le
Ilya Sutskever
Oriol Vinyals
Lukasz Kaiser
AIMat
36
806
0
19 Nov 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
30
98
0
18 Nov 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
68
3,258
0
17 Nov 2015
Recurrent Neural Networks Hardware Implementation on FPGA
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang
B. Martini
Eugenio Culurciello
13
126
0
17 Nov 2015
Sherlock: Scalable Fact Learning in Images
Sherlock: Scalable Fact Learning in Images
Mohamed Elhoseiny
Scott D. Cohen
W. Chang
Brian L. Price
Ahmed Elgammal
19
26
0
16 Nov 2015
Improving performance of recurrent neural network with relu nonlinearity
Improving performance of recurrent neural network with relu nonlinearity
S. Talathi
Aniket A. Vartak
ODL
21
88
0
12 Nov 2015
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