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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 / 4,779 papers shown
Title
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
Leveraging Sentence-level Information with Encoder LSTM for Semantic
  Slot Filling
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Gakuto Kurata
Bing Xiang
Bowen Zhou
Mo Yu
24
125
0
07 Jan 2016
Recurrent Memory Networks for Language Modeling
Recurrent Memory Networks for Language Modeling
Ke M. Tran
Arianna Bisazza
Christof Monz
30
21
0
06 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
234
623
0
06 Jan 2016
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep
  Learning Architecture
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Ashesh Jain
H. Koppula
Shane Soh
Bharad Raghavan
Avi Singh
Ashutosh Saxena
51
126
0
05 Jan 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural
  Networks
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li
Changyou Chen
David Carlson
Lawrence Carin
ODL
BDL
27
320
0
23 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
29
106
0
17 Dec 2015
Continuous online sequence learning with an unsupervised neural network
  model
Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui
Subutai Ahmad
J. Hawkins
CLL
27
239
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
22
1,642
0
16 Dec 2015
Distilling Knowledge from Deep Networks with Applications to Healthcare
  Domain
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
Zhengping Che
S. Purushotham
R. Khemani
Yan Liu
17
139
0
11 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
45
2,954
0
08 Dec 2015
Generating News Headlines with Recurrent Neural Networks
Generating News Headlines with Recurrent Neural Networks
Konstantin Lopyrev
18
117
0
05 Dec 2015
Building Memory with Concept Learning Capabilities from Large-scale
  Knowledge Base
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base
Jiaxin Shi
Jun Zhu
13
2
0
03 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
35
198
0
01 Dec 2015
Multilingual Language Processing From Bytes
Multilingual Language Processing From Bytes
D. Gillick
Clifford Brunk
Oriol Vinyals
A. Subramanya
30
223
0
01 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel
  Combinations of Reinforcement Learning Controllers and Recurrent Neural World
  Models
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
24
101
0
30 Nov 2015
Towards Universal Paraphrastic Sentence Embeddings
Towards Universal Paraphrastic Sentence Embeddings
John Wieting
Joey Tianyi Zhou
Kevin Gimpel
Karen Livescu
AI4TS
30
552
0
25 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
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Jesse Dodge
Andreea Gane
Xiang Zhang
Antoine Bordes
S. Chopra
Alexander H. Miller
Arthur Szlam
Jason Weston
ELM
32
197
0
21 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
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
31
1,606
0
20 Nov 2015
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
49
2,695
0
20 Nov 2015
Unsupervised Learning of Visual Structure using Predictive Generative
  Networks
Unsupervised Learning of Visual Structure using Predictive Generative Networks
William Lotter
Gabriel Kreiman
David D. Cox
GAN
SSL
DRL
16
132
0
19 Nov 2015
Structured Prediction Energy Networks
Structured Prediction Energy Networks
David Belanger
Andrew McCallum
GNN
18
219
0
19 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
34
2,341
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedML
UQCV
22
309
0
19 Nov 2015
Spatio-temporal video autoencoder with differentiable memory
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean
Ankur Handa
R. Cipolla
39
307
0
19 Nov 2015
Neural Programmer-Interpreters
Neural Programmer-Interpreters
Scott E. Reed
Nando de Freitas
36
405
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
59
806
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
24
667
0
19 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
27
327
0
18 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
69
1
0
17 Nov 2015
On the interplay of network structure and gradient convergence in deep
  learning
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
23
3
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
27
126
0
17 Nov 2015
MuProp: Unbiased Backpropagation for Stochastic Neural Networks
MuProp: Unbiased Backpropagation for Stochastic Neural Networks
S. Gu
Sergey Levine
Ilya Sutskever
A. Mnih
BDL
8
143
0
16 Nov 2015
How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
OOD
DiffM
GAN
28
296
0
16 Nov 2015
Neural Programmer: Inducing Latent Programs with Gradient Descent
Neural Programmer: Inducing Latent Programs with Gradient Descent
Arvind Neelakantan
Quoc V. Le
Ilya Sutskever
ODL
35
260
0
16 Nov 2015
Deep Reinforcement Learning with a Natural Language Action Space
Deep Reinforcement Learning with a Natural Language Action Space
Ji He
Jianshu Chen
Xiaodong He
Jianfeng Gao
Lihong Li
Li Deng
Mari Ostendorf
47
244
0
14 Nov 2015
Action Recognition using Visual Attention
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
24
666
0
12 Nov 2015
Larger-Context Language Modelling
Larger-Context Language Modelling
Tian Wang
Kyunghyun Cho
28
87
0
11 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
44
871
0
11 Nov 2015
Generating Images from Captions with Attention
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
43
450
0
09 Nov 2015
Top-down Tree Long Short-Term Memory Networks
Top-down Tree Long Short-Term Memory Networks
Xingxing Zhang
Liang Lu
Mirella Lapata
AIMat
20
101
0
31 Oct 2015
RATM: Recurrent Attentive Tracking Model
RATM: Recurrent Attentive Tracking Model
Samira Ebrahimi Kahou
Vincent Michalski
Roland Memisevic
40
84
0
29 Oct 2015
Attention with Intention for a Neural Network Conversation Model
Attention with Intention for a Neural Network Conversation Model
Kaisheng Yao
Geoffrey Zweig
Baolin Peng
26
114
0
29 Oct 2015
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu
Jiang Wang
Zhiheng Huang
Yi Yang
Wenyuan Xu
44
560
0
26 Oct 2015
On End-to-End Program Generation from User Intention by Deep Neural
  Networks
On End-to-End Program Generation from User Intention by Deep Neural Networks
Lili Mou
Rui Men
Ge Li
Lu Zhang
Zhi Jin
29
46
0
25 Oct 2015
Multilingual Image Description with Neural Sequence Models
Multilingual Image Description with Neural Sequence Models
Desmond Elliott
Stella Frank
Eva Hasler
VLM
22
75
0
15 Oct 2015
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Improved Deep Learning Baselines for Ubuntu Corpus Dialogs
Rudolf Kadlec
Martin Schmid
Jan Kleindienst
22
114
0
13 Oct 2015
A Diversity-Promoting Objective Function for Neural Conversation Models
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li
Michel Galley
Chris Brockett
Jianfeng Gao
W. Dolan
56
2,365
0
11 Oct 2015
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