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1409.3215
Cited By
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"
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Title
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
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Automatic chemical design using a data-driven continuous representation of molecules
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Jennifer N. Wei
David Duvenaud
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Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
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A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Nian Liu
Junwei Han
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A Survey of Multi-View Representation Learning
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Ming Yang
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03 Oct 2016
End-to-End Radio Traffic Sequence Recognition with Deep Recurrent Neural Networks
Tim O'Shea
Seth D. Hitefield
Johnathan Corgan
AI4TS
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42
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03 Oct 2016
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPC
AI4TS
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01 Oct 2016
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
P. Ypsilantis
Giovanni Montana
MedIm
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31
0
28 Sep 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
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Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
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CoGe
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Character Sequence Models for ColorfulWords
Kazuya Kawakami
Chris Dyer
Bryan R. Routledge
Noah A. Smith
3DV
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Online Segment to Segment Neural Transduction
Lei Yu
Jan Buys
Phil Blunsom
28
82
0
26 Sep 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
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Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
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Miguel Ballesteros
Lingpeng Kong
Chris Dyer
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Incorporating Relation Paths in Neural Relation Extraction
Wenyuan Zeng
Yankai Lin
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Maosong Sun
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Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
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Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
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Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning
Suyoun Kim
Takaaki Hori
Shinji Watanabe
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Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
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Weinan Zhang
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Yong Yu
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Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis
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Gradient Descent Learns Linear Dynamical Systems
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Efficient softmax approximation for GPUs
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Neural Machine Translation with Supervised Attention
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Masao Utiyama
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Multimodal Attention for Neural Machine Translation
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Loïc Barrault
Fethi Bougares
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An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification
Tong Wang
Ping Chen
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The Microsoft 2016 Conversational Speech Recognition System
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Geoffrey Zweig
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289
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12 Sep 2016
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
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Ask the GRU: Multi-Task Learning for Deep Text Recommendations
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Andrew McCallum
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Hierarchical Multiscale Recurrent Neural Networks
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Sungjin Ahn
Yoshua Bengio
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Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Bing-Quan Liu
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675
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A deep learning model for estimating story points
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T. Tran
Trang Pham
A. Ghose
Tim Menzies
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170
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Reward Augmented Maximum Likelihood for Neural Structured Prediction
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Samy Bengio
Z. Chen
Navdeep Jaitly
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252
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Towards Transparent AI Systems: Interpreting Visual Question Answering Models
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Akrit Mohapatra
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Collaborative Filtering with Recurrent Neural Networks
Robin Devooght
H. Bersini
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A Context-aware Natural Language Generator for Dialogue Systems
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Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
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G. Anand
L. Vig
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Context Gates for Neural Machine Translation
Zhaopeng Tu
Yang Liu
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23
137
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Using the Output Embedding to Improve Language Models
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Lior Wolf
27
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Modeling Human Reading with Neural Attention
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28
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Mollifying Networks
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Francesco Visin
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Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions
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Hao Cheng
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Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
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Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Jack Lanchantin
Ritambhara Singh
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Faster Training of Very Deep Networks Via p-Norm Gates
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Sequence Graph Transform (SGT): A Feature Embedding Function for Sequence Data Mining
Chitta Ranjan
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K. Paynabar
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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
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Temporal Attention Model for Neural Machine Translation
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A Siamese Long Short-Term Memory Architecture for Human Re-Identification
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575
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Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
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D. Roy
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An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
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Anirudh Goyal
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Joelle Pineau
Aaron Courville
Yoshua Bengio
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635
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Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
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Dong Xu
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Layer Normalization
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