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Sequence to Sequence Learning with Neural Networks

Sequence to Sequence Learning with Neural Networks

10 September 2014
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
    AIMat
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Papers citing "Sequence to Sequence Learning with Neural Networks"

50 / 5,019 papers shown
Title
Sequential Copying Networks
Sequential Copying Networks
Qingyu Zhou
Nan Yang
Furu Wei
M. Zhou
25
48
0
06 Jul 2018
Face-Cap: Image Captioning using Facial Expression Analysis
Face-Cap: Image Captioning using Facial Expression Analysis
Omid Mohamad Nezami
Mark Dras
Peter Anderson
Len Hamey
CVBM
27
27
0
06 Jul 2018
Detecting Visual Relationships Using Box Attention
Detecting Visual Relationships Using Box Attention
Alexander Kolesnikov
Alina Kuznetsova
Christoph H. Lampert
V. Ferrari
45
65
0
05 Jul 2018
Multi-Task Trust Transfer for Human-Robot Interaction
Multi-Task Trust Transfer for Human-Robot Interaction
Harold Soh
Yaqi Xie
Min Chen
David Hsu
22
67
0
05 Jul 2018
Seq2RDF: An end-to-end application for deriving Triples from Natural
  Language Text
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
Yue Liu
Tongtao Zhang
Zhicheng Liang
Heng Ji
D. McGuinness
3DV
27
20
0
04 Jul 2018
Neural Processes
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDL
UQCV
GP
19
509
0
04 Jul 2018
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step
  Generation
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation
Nelson Yalta
Shinji Watanabe
K. Nakadai
T. Ogata
27
62
0
03 Jul 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
21
53
0
03 Jul 2018
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power
  DNN Accelerator Design
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design
J. Zhang
S. Garg
27
21
0
02 Jul 2018
Neural Machine Translation with Key-Value Memory-Augmented Attention
Neural Machine Translation with Key-Value Memory-Augmented Attention
Fandong Meng
Zhaopeng Tu
Yong Cheng
Haiyang Wu
Junjie Zhai
Yuekui Yang
Di Wang
29
20
0
29 Jun 2018
A Multi-Modal Chinese Poetry Generation Model
A Multi-Modal Chinese Poetry Generation Model
Dayiheng Liu
Quan Guo
Wubo Li
Jiancheng Lv
32
26
0
26 Jun 2018
Attention-based Few-Shot Person Re-identification Using Meta Learning
Attention-based Few-Shot Person Re-identification Using Meta Learning
Alireza Rahimpour
Hairong Qi
24
5
0
24 Jun 2018
Improving Text-to-SQL Evaluation Methodology
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak
Jonathan K. Kummerfeld
Li Zhang
Karthik Ramanathan
Sesh Sadasivam
Rui Zhang
Dragomir R. Radev
50
278
0
23 Jun 2018
Dynamic Spectrum Matching with One-shot Learning
Dynamic Spectrum Matching with One-shot Learning
Jinchao Liu
S. Gibson
James Mills
Margarita Osadchy
33
37
0
23 Jun 2018
Persistent Hidden States and Nonlinear Transformation for Long
  Short-Term Memory
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory
Heeyoul Choi
24
12
0
22 Jun 2018
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Hareesh Bahuleyan
Lili Mou
Hao Zhou
Olga Vechtomova
BDL
DRL
27
6
0
22 Jun 2018
Combining Recurrent Neural Networks and Adversarial Training for Human
  Motion Synthesis and Control
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
Zhiyong Wang
Jinxiang Chai
Shi-hong Xia
GAN
17
74
0
21 Jun 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
35
214
0
20 Jun 2018
Accurate and Diverse Sampling of Sequences based on a "Best of Many"
  Sample Objective
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
Apratim Bhattacharyya
Bernt Schiele
Mario Fritz
30
114
0
20 Jun 2018
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity
  through Unified Recurrent and Convolutional Neural Networks
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi
Di Wu
Zhangyang Wang
Yang Shen
35
359
0
20 Jun 2018
Response Generation by Context-aware Prototype Editing
Response Generation by Context-aware Prototype Editing
Yu Wu
Furu Wei
Shaohan Huang
Yunli Wang
Zhoujun Li
Ming Zhou
KELM
23
121
0
19 Jun 2018
VirtualHome: Simulating Household Activities via Programs
VirtualHome: Simulating Household Activities via Programs
Xavier Puig
K. Ra
Marko Boben
Jiaman Li
Tingwu Wang
Sanja Fidler
Antonio Torralba
LM&Ro
30
478
0
19 Jun 2018
A Comparison of Transformer and Recurrent Neural Networks on
  Multilingual Neural Machine Translation
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation
Surafel Melaku Lakew
Mauro Cettolo
Marcello Federico
33
103
0
18 Jun 2018
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods
  for Pathological Heart Sound Classification
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification
Ahmed Imtiaz Humayun
Md. Tauhiduzzaman Khan
Shabnam Ghaffarzadegan
Zhe Feng
Taufiq Hasan
18
22
0
18 Jun 2018
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep
  Learning
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning
Zecheng He
Aswin Raghavan
Guangyuan Hu
S. Chai
Ruby B. Lee
29
4
0
18 Jun 2018
Multi-variable LSTM neural network for autoregressive exogenous model
Multi-variable LSTM neural network for autoregressive exogenous model
Tian Guo
Tao R. Lin
BDL
AI4TS
48
19
0
17 Jun 2018
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
Hao Zhu
Zhiyuan Liu
Ruobing Xie
Maosong Sun
Fen Lin
Leyu Lin
30
27
0
17 Jun 2018
Entity Commonsense Representation for Neural Abstractive Summarization
Entity Commonsense Representation for Neural Abstractive Summarization
Reinald Kim Amplayo
Seonjae Lim
Seung-won Hwang
25
36
0
14 Jun 2018
An Evaluation of Neural Machine Translation Models on Historical
  Spelling Normalization
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
Gongbo Tang
Fabienne Cap
Eva Pettersson
Joakim Nivre
19
43
0
13 Jun 2018
Extracting Parallel Sentences with Bidirectional Recurrent Neural
  Networks to Improve Machine Translation
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Francis Grégoire
Philippe Langlais
30
43
0
13 Jun 2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Binbing Liao
Jingqing Zhang
Chao Wu
Douglas McIlwraith
Tong Chen
Shengwen Yang
Yike Guo
Fei Wu
35
209
0
13 Jun 2018
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Benjamin Paassen
Claudio Gallicchio
Alessio Micheli
Barbara Hammer
19
22
0
13 Jun 2018
The streaming rollout of deep networks - towards fully model-parallel
  execution
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer
Jan M. Köhler
Thomas Pfeil
29
16
0
13 Jun 2018
Double Path Networks for Sequence to Sequence Learning
Double Path Networks for Sequence to Sequence Learning
Kaitao Song
Xu Tan
Di He
Jianfeng Lu
Tao Qin
Tie-Yan Liu
35
14
0
13 Jun 2018
Deep Learning to Detect Redundant Method Comments
Deep Learning to Detect Redundant Method Comments
Annie Louis
Santanu Kumar Dash
Earl T. Barr
Charles Sutton
8
16
0
12 Jun 2018
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue
  State Representation
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation
Haoyang Wen
Yijia Liu
Wanxiang Che
Libo Qin
Ting Liu
33
54
0
12 Jun 2018
Navigating with Graph Representations for Fast and Scalable Decoding of
  Neural Language Models
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang
Xiaodong Liu
Wenhan Wang
Jianfeng Gao
Yuxiong He
23
30
0
11 Jun 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
138
305
0
11 Jun 2018
Incremental Decoding and Training Methods for Simultaneous Translation
  in Neural Machine Translation
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
S. Vogel
CLL
22
96
0
10 Jun 2018
Multilingual Neural Machine Translation with Task-Specific Attention
Multilingual Neural Machine Translation with Task-Specific Attention
Graeme W. Blackwood
Miguel Ballesteros
T. Ward
26
79
0
08 Jun 2018
Findings of the Second Workshop on Neural Machine Translation and
  Generation
Findings of the Second Workshop on Neural Machine Translation and Generation
Alexandra Birch
A. Finch
Minh-Thang Luong
Graham Neubig
Yusuke Oda
DRL
40
12
0
08 Jun 2018
A Simple Method for Commonsense Reasoning
A Simple Method for Commonsense Reasoning
Trieu H. Trinh
Quoc V. Le
LRM
ReLM
60
432
0
07 Jun 2018
Semi-Dynamic Load Balancing: Efficient Distributed Learning in
  Non-Dedicated Environments
Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments
Chen Chen
Qizhen Weng
Wei Wang
Baochun Li
Bo Li
22
26
0
07 Jun 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
30
209
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
121
3,088
0
04 Jun 2018
Learning Semantic Sentence Embeddings using Sequential Pair-wise
  Discriminator
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri N. Patro
V. Kurmi
Sandeep Kumar
Vinay P. Namboodiri
29
32
0
03 Jun 2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space
Efficient Entropy for Policy Gradient with Multidimensional Action Space
Yiming Zhang
Q. Vuong
Kenny Song
Xiao-Yue Gong
Keith Ross
33
17
0
02 Jun 2018
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
92
1,377
0
31 May 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein
  Auto-Encoder
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Xiaodong Gu
Kyunghyun Cho
Jung-Woo Ha
Sunghun Kim
DRL
41
129
0
31 May 2018
Context-aware Cascade Attention-based RNN for Video Emotion Recognition
Context-aware Cascade Attention-based RNN for Video Emotion Recognition
Man-Chin Sun
Shih-Huan Hsu
Min Yang
Jen-Hsien Chien
36
18
0
30 May 2018
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