Where to apply dropout in recurrent neural networks for handwriting recognition?
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Christopher Kermorvant | Jérôme Louradour | Théodore Bluche | J. Louradour | Christopher Kermorvant | Théodore Bluche
[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] Richard Buse,et al. A structural and relational approach to handwritten word recognition , 1997, IEEE Trans. Syst. Man Cybern. Part B.
[3] Horst Bunke,et al. The IAM-database: an English sentence database for offline handwriting recognition , 2002, International Journal on Document Analysis and Recognition.
[4] Emmanuel Augustin,et al. RIMES evaluation campaign for handwritten mail processing , 2006 .
[5] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.
[6] Mehryar Mohri,et al. Speech Recognition with Weighted Finite-State Transducers , 2008 .
[7] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[8] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[9] Chafic Mokbel,et al. Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[11] Li Deng,et al. A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[12] Hermann Ney,et al. Improvements in RWTH's System for Off-Line Handwriting Recognition , 2013, 2013 12th International Conference on Document Analysis and Recognition.
[13] Yoshua Bengio,et al. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding , 2013, INTERSPEECH.
[14] Pierre Baldi,et al. Understanding Dropout , 2013, NIPS.
[15] Christopher Kermorvant,et al. The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation , 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.
[16] Hermann Ney,et al. Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.
[17] Alejandro Héctor Toselli,et al. ICFHR2014 Competition on Handwritten Text Recognition on Transcriptorium Datasets (HTRtS) , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.
[18] Christopher Kermorvant,et al. The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.
[19] Christopher Kermorvant,et al. Dropout Improves Recurrent Neural Networks for Handwriting Recognition , 2013, 2014 14th International Conference on Frontiers in Handwriting Recognition.
[20] Wojciech Zaremba,et al. Recurrent Neural Network Regularization , 2014, ArXiv.
[21] Hermann Ney,et al. The LIMSI handwriting recognition system for the HTRtS 2014 contest , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).