| Cross-entropy vs. squared error training: a theoretical and experimental comparison. P Golik, P Doetsch, H Ney Interspeech 13, 1756-1760, 2013 | 344 | 2013 |
| 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 | 277 | 2016 |
| 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 | 240 | 2014 |
| 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 | 217 | 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 | 116 | 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 | 81 | 2017 |
| 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 | 81 | 2016 |
| 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 | 80 | 2011 |
| 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 | 46 | 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 | 44 | 2015 |
| 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 | 42 | 2016 |
| 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 | 34 | 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 | 22 | 2012 |
| Towards unsupervised learning for handwriting recognition M Kozielski, M Nuhn, P Doetsch, H Ney 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 20 | 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 | 20 | 2014 |
| Segmental encoder-decoder models for large vocabulary automatic speech recognition E Beck, M Hannemann, P Doetsch, R Schlüter, H Ney Interspeech, 766-770, 2018 | 19 | 2018 |
| 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 | 19 | 2017 |
| 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 | 16 | 2014 |
| 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 | 14 | 2014 |
| Inverted alignments for end-to-end automatic speech recognition P Doetsch, M Hannemann, R Schlueter, H Ney IEEE Journal of Selected Topics in Signal Processing 11 (8), 1265-1273, 2017 | 13 | 2017 |
