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Dropout improves Recurrent Neural Networks for Handwriting Recognition
v1v2 (latest)

Dropout improves Recurrent Neural Networks for Handwriting Recognition

International Conference on Frontiers in Handwriting Recognition (ICFHR), 2013
5 November 2013
Vu Pham
Théodore Bluche
Christopher Kermorvant
J. Louradour
ArXiv (abs)PDFHTML

Papers citing "Dropout improves Recurrent Neural Networks for Handwriting Recognition"

50 / 159 papers shown
Title
Offline Handwritten Chinese Text Recognition with Convolutional Neural
  Networks
Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
Brian Liu
Xianchao Xu
Yu Zhang
3DV
135
17
0
28 Jun 2020
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line
  Recognition
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line RecognitionPattern Recognition (Pattern Recognit.), 2020
Lei Kang
Pau Riba
Marccal Rusinol
Alicia Fornés
M. Villegas
177
150
0
26 May 2020
Dropout: Explicit Forms and Capacity Control
Dropout: Explicit Forms and Capacity ControlInternational Conference on Machine Learning (ICML), 2020
R. Arora
Peter L. Bartlett
Poorya Mianjy
Nathan Srebro
187
41
0
06 Mar 2020
Almost Sure Convergence of Dropout Algorithms for Neural Networks
Almost Sure Convergence of Dropout Algorithms for Neural Networks
Albert Senen-Cerda
J. Sanders
210
11
0
06 Feb 2020
Graduate Employment Prediction with Bias
Graduate Employment Prediction with BiasAAAI Conference on Artificial Intelligence (AAAI), 2019
Teng Guo
Xiwei Xu
Shi Zhen
Xiaomei Bai
Dongyu Zhang
Zitao Liu
Shucheng Zhou
137
26
0
27 Dec 2019
Candidate Fusion: Integrating Language Modelling into a
  Sequence-to-Sequence Handwritten Word Recognition Architecture
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition ArchitecturePattern Recognition (Pattern Recognit.), 2019
Lei Kang
Pau Riba
M. Villegas
Alicia Fornés
Marçal Rusiñol
105
32
0
21 Dec 2019
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield PredictionFrontiers in Plant Science (Front. Plant Sci.), 2019
S. Khaki
Lizhi Wang
S. Archontoulis
233
515
0
20 Nov 2019
Fault Detection and Identification using Bayesian Recurrent Neural
  Networks
Fault Detection and Identification using Bayesian Recurrent Neural NetworksComputers and Chemical Engineering (CCE), 2019
Weike Sun
António R. C. Paiva
Peng Xu
Anantha Sundaram
R. D. Braatz
BDL
128
113
0
11 Nov 2019
CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction
CHD:Consecutive Horizontal Dropout for Human Gait Feature ExtractionInternational Conferences on Computing and Pattern Recognition (ICCCPR), 2019
Chengtao Cai
Yueyuan Zhou
Yanming Wang
CVBM
179
3
0
11 Oct 2019
A Computationally Efficient Pipeline Approach to Full Page Offline
  Handwritten Text Recognition
A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition
Jonathan Chung
Thomas Delteil
167
34
0
01 Oct 2019
Field typing for improved recognition on heterogeneous handwritten forms
Field typing for improved recognition on heterogeneous handwritten formsIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Ciprian Tomoiaga
Paul Feng
Mathieu Salzmann
PA Jayet
132
5
0
23 Sep 2019
Prediction Uncertainty Estimation for Hate Speech Classification
Prediction Uncertainty Estimation for Hate Speech ClassificationInternational Conference on Statistical Language and Speech Processing (ICSLSP), 2019
Kristian Miok
Dong Nguyen Doan
Blaž Škrlj
D. Zaharie
Marko Robnik-Šikonja
155
20
0
16 Sep 2019
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent
  Neural Networks
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
R. C. Staudemeyer
Eric Rothstein Morris
133
819
0
12 Sep 2019
Fully Convolutional Networks for Handwriting Recognition
Fully Convolutional Networks for Handwriting RecognitionInternational Conference on Frontiers in Handwriting Recognition (ICFHR), 2018
F. Such
D. Peri
Frank Brockler
Paul Hutkowski
R. Ptucha
145
28
0
10 Jul 2019
Locale-agnostic Universal Domain Classification Model in Spoken Language
  Understanding
Locale-agnostic Universal Domain Classification Model in Spoken Language UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Jihwan Lee
R. Sarikaya
Young-Bum Kim
116
7
0
02 May 2019
A Scalable Handwritten Text Recognition System
A Scalable Handwritten Text Recognition System
R. Ingle
Yasuhisa Fujii
Thomas Deselaers
Jonathan Baccash
Ashok Popat
144
90
0
19 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural
  Networks
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Priyanka Gupta
Pankaj Malhotra
Jyoti Narwariya
Lovekesh Vig
Gautam M. Shroff
AI4TS
244
67
0
01 Apr 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using
  Ensemble of Deep Ordinal Regression Models
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
UQCV
209
19
0
23 Mar 2019
IndyLSTMs: Independently Recurrent LSTMs
IndyLSTMs: Independently Recurrent LSTMsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
P. Gonnet
Thomas Deselaers
104
12
0
19 Mar 2019
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition
Evaluating Sequence-to-Sequence Models for Handwritten Text RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Johannes Michael
R. Labahn
Tobias Grüning
Jochen Zöllner
266
129
0
18 Mar 2019
Manifold Mixup improves text recognition with CTC loss
Manifold Mixup improves text recognition with CTC loss
Bastien Moysset
Ronaldo O. Messina
93
4
0
11 Mar 2019
No Padding Please: Efficient Neural Handwriting Recognition
No Padding Please: Efficient Neural Handwriting RecognitionIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Gideon Maillette de Buy Wenniger
Lambert Schomaker
Andy Way
115
20
0
28 Feb 2019
Fast Multi-language LSTM-based Online Handwriting Recognition
Fast Multi-language LSTM-based Online Handwriting Recognition
Victor Carbune
P. Gonnet
Thomas Deselaers
H. Rowley
A. Daryin
Marcos Calvo Lafarga
Li-Lun Wang
Daniel Keysers
Sandro Feuz
Philippe Gervais
HAI
183
151
0
22 Feb 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with
  Convolutional Neural Networks
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Mohamed Yousef
K. Hussain
U. S. Mohammed
3DV
145
131
0
31 Dec 2018
Neural Word Search in Historical Manuscript Collections
Neural Word Search in Historical Manuscript Collections
T. Wilkinson
Jonas Lindström
Anders Brun
3DV
123
8
0
06 Dec 2018
Are 2D-LSTM really dead for offline text recognition?
Are 2D-LSTM really dead for offline text recognition?
Bastien Moysset
Ronaldo O. Messina
3DV
95
30
0
27 Nov 2018
A Novel Integrated Framework for Learning both Text Detection and
  Recognition
A Novel Integrated Framework for Learning both Text Detection and RecognitionInternational Conference on Pattern Recognition (ICPR), 2018
Wanchen Sui
Qing Zhang
Jun Yang
Wei Chu
ObjD
104
8
0
21 Nov 2018
Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks
Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks
Yang Xu
Min Chen
Wei Yang
Sheng Chen
Liusheng Huang
CVBMHAI
83
9
0
17 Nov 2018
An Exploration of Dropout with RNNs for Natural Language Inference
An Exploration of Dropout with RNNs for Natural Language Inference
Amit Gajbhiye
Sardar F. Jaf
Noura Al Moubayed
A. Mcgough
S. Bradley
127
12
0
22 Oct 2018
Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
M. A. Nabian
Hadi Meidani
PINNAI4CE
186
60
0
11 Oct 2018
Towards one-shot learning for rare-word translation with external
  experts
Towards one-shot learning for rare-word translation with external experts
Ngoc-Quan Pham
Jan Niehues
A. Waibel
AAML
121
25
0
10 Sep 2018
A Neural Temporal Model for Human Motion Prediction
A Neural Temporal Model for Human Motion Prediction
Anand Gopalakrishnan
A. Mali
Daniel Kifer
C. Lee Giles
Alexander Ororbia
3DH
358
193
0
09 Sep 2018
Chinese Discourse Segmentation Using Bilingual Discourse Commonality
Chinese Discourse Segmentation Using Bilingual Discourse Commonality
Jingfeng Yang
Sujian Li
104
4
0
30 Aug 2018
A Comparison of Techniques for Language Model Integration in
  Encoder-Decoder Speech Recognition
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition
Shubham Toshniwal
Anjuli Kannan
Chung-Cheng Chiu
Yonghui Wu
Tara N. Sainath
Karen Livescu
188
165
0
27 Jul 2018
Interpreting recurrent neural networks behaviour via excitable network
  attractors
Interpreting recurrent neural networks behaviour via excitable network attractors
Andrea Ceni
Peter Ashwin
L. Livi
307
51
0
27 Jul 2018
An Efficient End-to-End Neural Model for Handwritten Text Recognition
An Efficient End-to-End Neural Model for Handwritten Text RecognitionBritish Machine Vision Conference (BMVC), 2018
Arindam Chowdhury
Lovekesh Vig
123
85
0
20 Jul 2018
A Discriminative Approach to Bayesian Filtering with Applications to
  Human Neural Decoding
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
Michael C. Burkhart
99
7
0
17 Jul 2018
Transfer Learning for Clinical Time Series Analysis using Recurrent
  Neural Networks
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
149
40
0
04 Jul 2018
Understanding Dropout as an Optimization Trick
Understanding Dropout as an Optimization Trick
Sangchul Hahn
Heeyoul Choi
ODL
164
37
0
26 Jun 2018
Approximate Random Dropout
Approximate Random Dropout
Zhuoran Song
Ru Wang
Dongyu Ru
Hongru Huang
Zhenghao Peng
Hai Zhao
Xiaoyao Liang
Li Jiang
BDL
144
11
0
23 May 2018
Neural networks with dynamical coefficients and adjustable connections
  on the basis of integrated backpropagation
Neural networks with dynamical coefficients and adjustable connections on the basis of integrated backpropagation
M. Nazarov
52
0
0
19 May 2018
Token-level and sequence-level loss smoothing for RNN language models
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad
Laurent Besacier
Jakob Verbeek
143
19
0
14 May 2018
Internal node bagging
Internal node bagging
Shun Yi
BDL
233
0
0
01 May 2018
Boosting Handwriting Text Recognition in Small Databases with Transfer
  Learning
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning
J. C. Aradillas
J. J. Murillo-Fuentes
Pablo M. Olmos
142
44
0
04 Apr 2018
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug
  Triaging
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani
A. Sankaran
Rahul Aralikatte
99
143
0
04 Jan 2018
Recent Advances in Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad
Sharan Sankar
Joseph Barfett
E. Colak
S. Valaee
AI4TS
444
678
0
29 Dec 2017
Character-Based Handwritten Text Transcription with Attention Networks
Character-Based Handwritten Text Transcription with Attention Networks
Jason Poulos
Rafael Valle
197
36
0
11 Dec 2017
Depression Severity Estimation from Multiple Modalities
Depression Severity Estimation from Multiple Modalities
Evgeny A. Stepanov
Stéphane Lathuilière
Shammur A. Chowdhury
Arindam Ghosh
Radu L. Vieriu
Andrii Zadaianchuk
Giuseppe Riccardi
106
33
0
10 Nov 2017
Clickbait Detection in Tweets Using Self-attentive Network
Clickbait Detection in Tweets Using Self-attentive Network
Yiwei Zhou
94
56
0
15 Oct 2017
Calligraphic Stylisation Learning with a Physiologically Plausible Model
  of Movement and Recurrent Neural Networks
Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
Daniel Berio
Memo Akten
F. Leymarie
M. Grierson
R. Plamondon
GAN
110
15
0
24 Sep 2017
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