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Neural Machine Translation by Jointly Learning to Align and Translate
v1v2v3v4v5v6v7 (latest)

Neural Machine Translation by Jointly Learning to Align and Translate

1 September 2014
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
    AIMat
ArXiv (abs)PDFHTML

Papers citing "Neural Machine Translation by Jointly Learning to Align and Translate"

50 / 8,365 papers shown
Title
Words or Characters? Fine-grained Gating for Reading Comprehension
Words or Characters? Fine-grained Gating for Reading Comprehension
Zhilin Yang
Bhuwan Dhingra
Ye Yuan
Junjie Hu
William W. Cohen
Ruslan Salakhutdinov
AI4CE
84
101
0
06 Nov 2016
Boosting Image Captioning with Attributes
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
112
624
0
05 Nov 2016
Reference-Aware Language Models
Reference-Aware Language Models
Zichao Yang
Phil Blunsom
Chris Dyer
Wang Ling
315
81
0
05 Nov 2016
Bidirectional Attention Flow for Machine Comprehension
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo
Aniruddha Kembhavi
Ali Farhadi
Hannaneh Hajishirzi
143
2,091
0
05 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
554
5,392
0
05 Nov 2016
Quasi-Recurrent Neural Networks
Quasi-Recurrent Neural Networks
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
208
445
0
05 Nov 2016
Morphological Inflection Generation with Hard Monotonic Attention
Morphological Inflection Generation with Hard Monotonic Attention
Roee Aharoni
Yoav Goldberg
118
15
0
04 Nov 2016
Learning Recurrent Span Representations for Extractive Question
  Answering
Learning Recurrent Span Representations for Extractive Question Answering
Kenton Lee
Shimi Salant
Tom Kwiatkowski
Ankur P. Parikh
Dipanjan Das
Jonathan Berant
RALM
131
151
0
04 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLLNAI
104
99
0
04 Nov 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
146
907
0
04 Nov 2016
Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic
  Imaging Data Using Recurrent Neural Networks
Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks
R. Devon Hjelm
Eswar Damaraju
Kyunghyun Cho
Helmut Laufs
Sergey Plis
Vince D. Calhoun
41
9
0
03 Nov 2016
Extensions and Limitations of the Neural GPU
Extensions and Limitations of the Neural GPU
Eric Price
Wojciech Zaremba
Ilya Sutskever
82
24
0
02 Nov 2016
Ordinal Common-sense Inference
Ordinal Common-sense Inference
Sheng Zhang
Rachel Rudinger
Kevin Duh
Benjamin Van Durme
LRM
89
121
0
02 Nov 2016
Dual Attention Networks for Multimodal Reasoning and Matching
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam
Jung-Woo Ha
Jeonghee Kim
131
670
0
02 Nov 2016
Dual Learning for Machine Translation
Dual Learning for Machine Translation
Yingce Xia
Di He
Tao Qin
Liwei Wang
Nenghai Yu
Tie-Yan Liu
Wei-Ying Ma
AI4CE
99
851
0
01 Nov 2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with
  Weak Supervision
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang
Jonathan Berant
Quoc V. Le
Kenneth D. Forbus
Ni Lao
NAI
126
406
0
31 Oct 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
124
553
0
31 Oct 2016
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
Yang Yu
Wei Zhang
K. Hasan
Mo Yu
Bing Xiang
Bowen Zhou
66
76
0
31 Oct 2016
Inference Compilation and Universal Probabilistic Programming
Inference Compilation and Universal Probabilistic Programming
T. Le
A. G. Baydin
Frank Wood
UQCV
219
143
0
31 Oct 2016
Chinese Poetry Generation with Planning based Neural Network
Chinese Poetry Generation with Planning based Neural Network
Zhe Wang
Wei He
Hua Wu
Haiyang Wu
Wei Li
Haifeng Wang
Enhong Chen
112
133
0
31 Oct 2016
Sequence-to-sequence neural network models for transliteration
Sequence-to-sequence neural network models for transliteration
Mihaela Rosca
Thomas Breuel
57
66
0
29 Oct 2016
Phased LSTM: Accelerating Recurrent Network Training for Long or
  Event-based Sequences
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil
Michael Pfeiffer
Shih-Chii Liu
AI4TS
76
448
0
29 Oct 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
143
598
0
27 Oct 2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W. Rae
Jonathan J. Hunt
Tim Harley
Ivo Danihelka
A. Senior
Greg Wayne
Alex Graves
Timothy Lillicrap
94
158
0
27 Oct 2016
Can Active Memory Replace Attention?
Can Active Memory Replace Attention?
Lukasz Kaiser
Samy Bengio
89
59
0
27 Oct 2016
Distraction-Based Neural Networks for Document Summarization
Distraction-Based Neural Networks for Document Summarization
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
99
59
0
26 Oct 2016
Still not there? Comparing Traditional Sequence-to-Sequence Models to
  Encoder-Decoder Neural Networks on Monotone String Translation Tasks
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks
Carsten Schnober
Steffen Eger
E. Dinh
Iryna Gurevych
75
37
0
25 Oct 2016
Iterative Refinement for Machine Translation
Iterative Refinement for Machine Translation
Roman Novak
Michael Auli
David Grangier
CLL
86
29
0
20 Oct 2016
Jointly Learning to Align and Convert Graphemes to Phonemes with Neural
  Attention Models
Jointly Learning to Align and Convert Graphemes to Phonemes with Neural Attention Models
Shubham Toshniwal
Karen Livescu
57
41
0
20 Oct 2016
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Lexicon Integrated CNN Models with Attention for Sentiment Analysis
Bonggun Shin
Timothy Lee
Jinho Choi
57
113
0
20 Oct 2016
Using Fast Weights to Attend to the Recent Past
Using Fast Weights to Attend to the Recent Past
Jimmy Ba
Geoffrey E. Hinton
Volodymyr Mnih
Joel Z Leibo
Catalin Ionescu
99
273
0
20 Oct 2016
SYSTRAN's Pure Neural Machine Translation Systems
SYSTRAN's Pure Neural Machine Translation Systems
Josep Crego
Jungi Kim
Guillaume Klein
Anabel Rebollo
Kathy Yang
...
Bo Wang
Jin Yang
Dakun Zhang
Jing Zhou
Peter Zoldan
109
125
0
18 Oct 2016
Pre-Translation for Neural Machine Translation
Pre-Translation for Neural Machine Translation
Jan Niehues
Eunah Cho
Thanh-Le Ha
A. Waibel
AIMat
75
91
0
17 Oct 2016
Interactive Attention for Neural Machine Translation
Interactive Attention for Neural Machine Translation
Fandong Meng
Zhengdong Lu
Hang Li
Qun Liu
73
76
0
17 Oct 2016
Spatio-Temporal Attention Models for Grounded Video Captioning
Spatio-Temporal Attention Models for Grounded Video Captioning
M. Zanfir
Elisabeta Marinoiu
C. Sminchisescu
122
50
0
17 Oct 2016
Generating captions without looking beyond objects
Generating captions without looking beyond objects
Hendrik Heuer
Christof Monz
A. Smeulders
48
17
0
12 Oct 2016
Navigational Instruction Generation as Inverse Reinforcement Learning
  with Neural Machine Translation
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation
Andrea F. Daniele
Joey Tianyi Zhou
Matthew R. Walter
LM&Ro
90
40
0
11 Oct 2016
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya (Adi) Prakash
Sadid A. Hasan
Kathy Lee
Vivek Datla
Ashequl Qadir
Joey Liu
Oladimeji Farri
125
267
0
10 Oct 2016
Very Deep Convolutional Networks for End-to-End Speech Recognition
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang
William Chan
Navdeep Jaitly
AI4TS
101
412
0
10 Oct 2016
Fully Character-Level Neural Machine Translation without Explicit
  Segmentation
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason D. Lee
Kyunghyun Cho
Thomas Hofmann
VLM
155
458
0
10 Oct 2016
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou
Cong Liu
Yan Pan
69
39
0
10 Oct 2016
Learning Spatial-Semantic Context with Fully Convolutional Recurrent
  Network for Online Handwritten Chinese Text Recognition
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
Zecheng Xie
Zenghui Sun
Lianwen Jin
Hao Ni
Terry Lyons
118
124
0
09 Oct 2016
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence
  Models
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K. Vijayakumar
Michael Cogswell
Ramprasaath R. Selvaraju
Q. Sun
Stefan Lee
David J. Crandall
Dhruv Batra
93
555
0
07 Oct 2016
Visual Question Answering: Datasets, Algorithms, and Future Challenges
Visual Question Answering: Datasets, Algorithms, and Future Challenges
Kushal Kafle
Christopher Kanan
OOD
101
244
0
05 Oct 2016
Is Neural Machine Translation Ready for Deployment? A Case Study on 30
  Translation Directions
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt
Tomasz Dwojak
Hieu T. Hoang
114
199
0
04 Oct 2016
A Survey of Multi-View Representation Learning
A Survey of Multi-View Representation Learning
Yingming Li
Ming Yang
Zhongfei Zhang
AI4TS3DV
343
517
0
03 Oct 2016
Learning to Translate in Real-time with Neural Machine Translation
Learning to Translate in Real-time with Neural Machine Translation
Jiatao Gu
Graham Neubig
Kyunghyun Cho
Victor O.K. Li
90
219
0
03 Oct 2016
Vocabulary Selection Strategies for Neural Machine Translation
Vocabulary Selection Strategies for Neural Machine Translation
Gurvan L'Hostis
David Grangier
Michael Auli
74
41
0
01 Oct 2016
Controlling Output Length in Neural Encoder-Decoders
Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi
Graham Neubig
Ryohei Sasano
Hiroya Takamura
Manabu Okumura
82
244
0
30 Sep 2016
Semantic Parsing with Semi-Supervised Sequential Autoencoders
Semantic Parsing with Semi-Supervised Sequential Autoencoders
Tomás Kociský
Gábor Melis
Edward Grefenstette
Chris Dyer
Wang Ling
Phil Blunsom
Karl Moritz Hermann
99
79
0
29 Sep 2016
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