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Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

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

50 / 5,997 papers shown
Title
Discovering Non-monotonic Autoregressive Orderings with Variational
  Inference
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
Xuanlin Li
Brandon Trabucco
Dongmin Park
Michael Luo
S. Shen
Trevor Darrell
Yang Gao
90
13
0
27 Oct 2021
Generalizing AUC Optimization to Multiclass Classification for Audio
  Segmentation With Limited Training Data
Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data
Pablo Gimeno
Victoria Mingote
Alfonso Ortega
A. Miguel
EDUARDO LLEIDA SOLANO
UQCV
33
12
0
27 Oct 2021
Dynamic population-based meta-learning for multi-agent communication
  with natural language
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta
Marc Lanctot
Angeliki Lazaridou
LLMAG
161
20
0
27 Oct 2021
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent
  Neighbor Aggregation
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation
Ling Chen
Da Wang
Dandan Lyu
Xing Tang
Hongyu Shi
79
0
0
26 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World
  Models
Multitask Adaptation by Retrospective Exploration with Learned World Models
Artem Zholus
Aleksandr I. Panov
CLL
34
0
0
25 Oct 2021
Distributionally Robust Recurrent Decoders with Random Network
  Distillation
Distributionally Robust Recurrent Decoders with Random Network Distillation
Antonio Valerio Miceli Barone
Alexandra Birch
Rico Sennrich
138
1
0
25 Oct 2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual
  Language Reasoning
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu
Liang Qiu
Jiaqi Chen
Tony Xia
Yizhou Zhao
Wei Zhang
Zhou Yu
Xiaodan Liang
Song-Chun Zhu
AIMat
177
206
0
25 Oct 2021
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
AI4TS
112
25
0
25 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
132
83
0
25 Oct 2021
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservation
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
100
420
0
25 Oct 2021
Recurrent Off-policy Baselines for Memory-based Continuous Control
Recurrent Off-policy Baselines for Memory-based Continuous Control
Zhihan Yang
Hai V. Nguyen
CLLOffRL
87
24
0
25 Oct 2021
Scaling Neural Program Synthesis with Distribution-based Search
Scaling Neural Program Synthesis with Distribution-based Search
Nathanaël Fijalkow
Guillaume Lagarde
Théo Matricon
Kevin Ellis
Pierre Ohlmann
Akarsh Potta
NAI
40
10
0
24 Oct 2021
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Conditional Generation of Periodic Signals with Fourier-Based Decoder
Jiyoung Lee
Heng-Chiao Huang
Daehoon Gwak
Edward Choi
50
6
0
24 Oct 2021
Recurrence along Depth: Deep Convolutional Neural Networks with
  Recurrent Layer Aggregation
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao
Yanwen Fang
Guodong Li
69
24
0
22 Oct 2021
Exploiting Cross-Modal Prediction and Relation Consistency for
  Semi-Supervised Image Captioning
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
Yang Yang
Haoran Wei
Hengshu Zhu
Dianhai Yu
Hui Xiong
Jian Yang
SSL
34
33
0
22 Oct 2021
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Zi-Jun Li
Bo Xu
Han Huang
Cheng Lu
Yandong Guo
3DH
63
13
0
22 Oct 2021
Error-correcting neural networks for semi-Lagrangian advection in the
  level-set method
Error-correcting neural networks for semi-Lagrangian advection in the level-set method
Luis Ángel Larios-Cárdenas
Frédéric Gibou
92
7
0
22 Oct 2021
Multiwave COVID-19 Prediction from Social Awareness using Web Search and
  Mobility Data
Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
Jia Xue
T. Yabe
Kota Tsubouchi
J. Ma
S. Ukkusuri
80
10
0
22 Oct 2021
Variational Predictive Routing with Nested Subjective Timescales
Variational Predictive Routing with Nested Subjective Timescales
Alexey Zakharov
Qinghai Guo
Zafeirios Fountas
BDLAI4TS
75
9
0
21 Oct 2021
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover
  Hidden Patterns in COVID-19 Clinical Severity
Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
I. Segovia-Dominguez
Huikyo Lee
Zhiwei Zhen
Yuzhou Chen
M. Garay
Daniel Crichton
R. Wagh
Yulia R. Gel
40
1
0
21 Oct 2021
Text-Based Person Search with Limited Data
Text-Based Person Search with Limited Data
Xiaoping Han
Sen He
Li Zhang
Tao Xiang
94
91
0
20 Oct 2021
AniFormer: Data-driven 3D Animation with Transformer
AniFormer: Data-driven 3D Animation with Transformer
Haoyu Chen
Hao Tang
N. Sebe
Guoying Zhao
81
13
0
20 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
99
47
0
20 Oct 2021
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction
  in Autonomous Driving
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu
Xinyu Mao
Yuqi Fang
Delong Zhu
Max Meng
72
59
0
20 Oct 2021
Discontinuous Grammar as a Foreign Language
Discontinuous Grammar as a Foreign Language
Daniel Fernández-González
Carlos Gómez-Rodríguez
97
9
0
20 Oct 2021
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Buzhen Huang
Y. Shu
Tianshu Zhang
Yangang Wang
3DH
119
38
0
20 Oct 2021
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison
Rithesh Kumar
Kundan Kumar
Prem Seetharaman
Aaron Courville
Yoshua Bengio
GAN
132
72
0
19 Oct 2021
Permutation invariant graph-to-sequence model for template-free
  retrosynthesis and reaction prediction
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu
Connor W. Coley
80
96
0
19 Oct 2021
Ensemble ALBERT on SQuAD 2.0
Ensemble ALBERT on SQuAD 2.0
Shilun Li
Renee Li
Veronica Peng
MoE
27
6
0
19 Oct 2021
Discovering and Achieving Goals via World Models
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
101
127
0
18 Oct 2021
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove
  Sensitive Information From Multimodal Neural Representation in Asynchronous
  Job Video Interviews
Don't Judge Me by My Face : An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews
Léo Hemamou
Arthur Guillon
Jean-Claude Martin
Chloé Clavel
CVBMAAML
65
3
0
18 Oct 2021
A Survey of Human Activity Recognition in Smart Homes Based on IoT
  Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep
  Learning
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
Damien Bouchabou
S. Nguyen
Christopher Lohr
Benoit Leduc
Ioannis Kanellos
106
135
0
18 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Zarina Rakhimberdina
Quentin Jodelet
Xin Liu
T. Murata
3DV
173
30
0
18 Oct 2021
Computing Semilinear Sparse Models for Approximately Eventually Periodic
  Signals
Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals
Fredy Vides
15
3
0
18 Oct 2021
Improving Transformers with Probabilistic Attention Keys
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen
T. Nguyen
Dung D. Le
Duy Khuong Nguyen
Viet-Anh Tran
Richard G. Baraniuk
Nhat Ho
Stanley J. Osher
132
33
0
16 Oct 2021
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning
  for Solving Math Word Problems
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems
Zhongli Li
Wenxuan Zhang
Chao Yan
Qingyu Zhou
Chao Li
Hongzhi Liu
Yunbo Cao
AIMat
88
55
0
16 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
116
70
0
15 Oct 2021
Coherence boosting: When your pretrained language model is not paying
  enough attention
Coherence boosting: When your pretrained language model is not paying enough attention
Nikolay Malkin
Zhen Wang
Nebojsa Jojic
RALM
76
37
0
15 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning
Siyang Wu
Tonghan Wang
Chenghao Li
Yang Hu
Chongjie Zhang
OffRL
57
1
0
15 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
Sebastian Pokutta
64
12
0
15 Oct 2021
Pose-guided Generative Adversarial Net for Novel View Action Synthesis
Pose-guided Generative Adversarial Net for Novel View Action Synthesis
Xianhang Li
Junhao Zhang
Kunchang Li
Shruti Vyas
Yogesh S Rawat
GAN
122
3
0
15 Oct 2021
Deep learning models for predicting RNA degradation via dual
  crowdsourcing
Deep learning models for predicting RNA degradation via dual crowdsourcing
H. Wayment-Steele
W. Kladwang
Andrew Watkins
Do Soon Kim
Bojan Tunguz
...
Emin Öztürk
K. Amer
Mohamed Fares
Eterna Participants
Rhiju Das
79
20
0
14 Oct 2021
Bank transactions embeddings help to uncover current macroeconomics
Bank transactions embeddings help to uncover current macroeconomics
Maria Begicheva
Alexey Zaytsev
66
5
0
14 Oct 2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language
  Models
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Xin Zhou
Ruotian Ma
Tao Gui
Y. Tan
Qi Zhang
Xuanjing Huang
VLM
75
5
0
14 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen
Dai Quoc Nguyen
Van Nguyen
Trung Le
Quan Hung Tran
Dinh Q. Phung
87
118
0
14 Oct 2021
On the difficulty of learning chaotic dynamics with RNNs
On the difficulty of learning chaotic dynamics with RNNs
Jonas M. Mikhaeil
Zahra Monfared
Daniel Durstewitz
143
59
0
14 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks
SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang
Yuehao Wang
Hua Lin
Jianbo Shi
89
3
0
14 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A
  Few Case Studies
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies
Bao Wang
Hedi Xia
T. Nguyen
Stanley Osher
AI4CE
109
10
0
13 Oct 2021
Automated Essay Scoring Using Transformer Models
Automated Essay Scoring Using Transformer Models
Sabrina Ludwig
Christian W. F. Mayer
Christopher Hansen
Kerstin Eilers
Steffen Brandt
85
40
0
13 Oct 2021
DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality
  Learning
DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Yizhi Wang
Zheng Lian
3DV
89
20
0
13 Oct 2021
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