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Dropout improves Recurrent Neural Networks for Handwriting Recognition

Dropout improves Recurrent Neural Networks for Handwriting Recognition

5 November 2013
Vu Pham
Théodore Bluche
Christopher Kermorvant
J. Louradour
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Papers citing "Dropout improves Recurrent Neural Networks for Handwriting Recognition"

15 / 65 papers shown
Title
Generalizing and Hybridizing Count-based and Neural Language Models
Generalizing and Hybridizing Count-based and Neural Language Models
Graham Neubig
Chris Dyer
64
31
0
01 Jun 2016
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with
  MDLSTM Attention
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
Théodore Bluche
J. Louradour
Ronaldo O. Messina
VLM
24
170
0
12 Apr 2016
Neural Language Correction with Character-Based Attention
Neural Language Correction with Character-Based Attention
Ziang Xie
Anand Avati
N. Arivazhagan
Dan Jurafsky
A. Ng
36
142
0
31 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
32
222
0
16 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation
  Language Models
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
Yangfeng Ji
Gholamreza Haffari
Jacob Eisenstein
BDL
29
126
0
07 Mar 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
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
49
1,642
0
16 Dec 2015
Named Entity Recognition with Bidirectional LSTM-CNNs
Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu
Eric Nichols
32
1,888
0
26 Nov 2015
Neural GPUs Learn Algorithms
Neural GPUs Learn Algorithms
Lukasz Kaiser
Ilya Sutskever
36
367
0
25 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
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
39
1,098
0
11 Nov 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical
  Volumetric Image Segmentation
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga
Wonmin Byeon
Marcus Liwicki
Jürgen Schmidhuber
29
294
0
24 Jun 2015
Learning to Execute
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
36
555
0
17 Oct 2014
Recurrent Neural Network Regularization
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
75
2,759
0
08 Sep 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
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