Cross-entropy vs. squared error training: a theoretical and experimental comparison. P Golik, P Doetsch, H Ney Interspeech 13, 1756-1760, 2013 | 203 | 2013 |
Fast and robust training of recurrent neural networks for offline handwriting recognition P Doetsch, M Kozielski, H Ney 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 153 | 2014 |
Handwriting recognition with large multidimensional long short-term memory recurrent neural networks P Voigtlaender, P Doetsch, H Ney 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 135 | 2016 |
A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 129 | 2017 |
Improvements in rwth's system for off-line handwriting recognition M Kozielski, P Doetsch, H Ney 2013 12th International Conference on Document Analysis and Recognition, 935-939, 2013 | 82 | 2013 |
RETURNN: The RWTH extensible training framework for universal recurrent neural networks P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 57 | 2017 |
Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained gaussian HMM: a comparison for offline handwriting recognition P Dreuw, P Doetsch, C Plahl, H Ney 2011 18th IEEE International Conference on Image Processing, 3541-3544, 2011 | 52 | 2011 |
On the benefits of convolutional neural network combinations in offline handwriting recognition D Suryani, P Doetsch, H Ney 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 42 | 2016 |
Logistic model trees with auc split criterion for the kdd cup 2009 small challenge P Doetsch, C Buck, P Golik, N Hoppe, M Kramp, J Laudenberg, ... KDD-Cup 2009 Competition, 77-88, 2009 | 31 | 2009 |
Sequence-discriminative training of recurrent neural networks P Voigtlaender, P Doetsch, S Wiesler, R Schlüter, H Ney 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 28 | 2015 |
The rwth large vocabulary arabic handwriting recognition system M Hamdani, P Doetsch, M Kozielski, AED Mousa, H Ney 2014 11th IAPR International Workshop on Document Analysis Systems, 111-115, 2014 | 25 | 2014 |
Bidirectional decoder networks for attention-based end-to-end offline handwriting recognition P Doetsch, A Zeyer, H Ney 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 19 | 2016 |
Towards unsupervised learning for handwriting recognition M Kozielski, M Nuhn, P Doetsch, H Ney 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 17 | 2014 |
Open-lexicon language modeling combining word and character levels M Kozielski, M Matysiak, P Doetsch, R Schlöter, H Ney 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 14 | 2014 |
Multilingual off-line handwriting recognition in real-world images M Kozielski, P Doetsch, M Hamdani, H Ney 2014 11th IAPR International Workshop on Document Analysis Systems, 121-125, 2014 | 14 | 2014 |
Comparison of Bernoulli and Gaussian HMMs using a vertical repositioning technique for off-line handwriting recognition P Doetsch, M Hamdani, H Ney, A Giménez, J Andrés-Ferrer, A Juan 2012 International Conference on Frontiers in Handwriting Recognition, 3-7, 2012 | 14 | 2012 |
Improvement of context dependent modeling for Arabic handwriting recognition M Hamdani, P Doetsch, H Ney 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 11 | 2014 |
A comprehensive study of batch construction strategies for recurrent neural networks in mxnet P Doetsch, P Golik, H Ney arXiv preprint arXiv:1705.02414, 2017 | 10 | 2017 |
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. E Beck, M Hannemann, P Doetsch, R Schlüter, H Ney Interspeech, 766-770, 2018 | 8 | 2018 |
Cross-entropy vs P Golik, P Doetsch, H Ney Squared Error Training: a Theoretical and Experimental Comparison, 2013 | 7 | 2013 |