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On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

3 September 2014
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
    AI4CE
    AIMat
ArXivPDFHTML

Papers citing "On the Properties of Neural Machine Translation: Encoder-Decoder Approaches"

6 / 56 papers shown
Title
Predicting Clinical Events by Combining Static and Dynamic Information
  Using Recurrent Neural Networks
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban
O. Staeck
Yinchong Yang
Volker Tresp
49
154
0
08 Feb 2016
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
287
20,491
0
10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
647
23,235
0
03 Jun 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
106
4,025
0
04 Aug 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
Sequence Transduction with Recurrent Neural Networks
Sequence Transduction with Recurrent Neural Networks
Alex Graves
140
1,858
0
14 Nov 2012
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