| Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups G Hinton, L Deng, D Yu, GE Dahl, A Mohamed, N Jaitly, A Senior, ... IEEE Signal Processing Magazine 29 (6), 82-97, 2012 | 1741 | 2012 |
| Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition G Dahl, D Yu, L Deng, A Acero Audio, Speech, and Language Processing, IEEE Transactions on, 1-1, 2010 | 1107 | 2010 |
| Acoustic modeling using deep belief networks A Mohamed, GE Dahl, G Hinton IEEE Transactions on Audio, Speech, and Language Processing 20 (1), 14-22, 2012 | 742 | 2012 |
| Deep belief networks for phone recognition A Mohamed, G Dahl, G Hinton NIPS Workshop on Deep Learning for Speech Recognition and Related Applications, 2009 | 384* | 2009 |
| On the importance of initialization and momentum in deep learning. I Sutskever, J Martens, GE Dahl, GE Hinton ICML (3) 28, 1139-1147, 2013 | 359 | 2013 |
| Improving deep neural networks for LVCSR using rectified linear units and dropout GE Dahl, TN Sainath, GE Hinton 2013 IEEE International Conference on Acoustics, Speech and Signal ..., 2013 | 280 | 2013 |
| Phone recognition with the mean-covariance restricted Boltzmann machine G Dahl, A Mohamed, GE Hinton Advances in neural information processing systems, 469-477, 2010 | 172 | 2010 |
| Deep belief networks using discriminative features for phone recognition A Mohamed, TN Sainath, G Dahl, B Ramabhadran, GE Hinton, ... 2011 IEEE international conference on acoustics, speech and signal ..., 2011 | 159 | 2011 |
| Roles of pre-training and fine-tuning in context-dependent DBN-HMMs for real-world speech recognition D Yu, L Deng, G Dahl Proc. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2010 | 118 | 2010 |
| Large vocabulary continuous speech recognition with context-dependent DBN-HMMs GE Dahl, D Yu, L Deng, A Acero 2011 IEEE international conference on acoustics, speech and signal ..., 2011 | 92 | 2011 |
| Improvements to deep convolutional neural networks for LVCSR TN Sainath, B Kingsbury, A Mohamed, GE Dahl, G Saon, H Soltau, ... Automatic Speech Recognition and Understanding (ASRU), 2013 IEEE Workshop on ..., 2013 | 72 | 2013 |
| Incorporating side information in probabilistic matrix factorization with gaussian processes RP Adams, GE Dahl, I Murray arXiv preprint arXiv:1003.4944, 2010 | 48 | 2010 |
| Deep convolutional neural networks for large-scale speech tasks TN Sainath, B Kingsbury, G Saon, H Soltau, A Mohamed, G Dahl, ... Neural Networks 64, 39-48, 2015 | 45 | 2015 |
| Training Restricted Boltzmann Machines on Word Observations GE Dahl, RP Adams, H Larochelle International Conference on Machine Learning, 679-686, 2012 | 45 | 2012 |
| Deep neural nets as a method for quantitative structure–activity relationships J Ma, RP Sheridan, A Liaw, GE Dahl, V Svetnik Journal of chemical information and modeling 55 (2), 263-274, 2015 | 38 | 2015 |
| Large-scale malware classification using random projections and neural networks GE Dahl, JW Stokes, L Deng, D Yu 2013 IEEE International Conference on Acoustics, Speech and Signal ..., 2013 | 35 | 2013 |
| Multi-task neural networks for QSAR predictions GE Dahl, N Jaitly, R Salakhutdinov arXiv preprint arXiv:1406.1231, 2014 | 28 | 2014 |
| Parallelizing neural network training for cluster systems G Dahl, A McAvinney, T Newhall Proceedings of the IASTED International Conference on Parallel and ..., 2008 | 25 | 2008 |
| SW-AG: Local context matching for English lexical substitution G Dahl, AM Frassica, R Wicentowski Proceedings of the 4th International Workshop on Semantic Evaluations, 304-307, 2007 | 11 | 2007 |
| Deep neural networks for acoustic modeling in SR G Hinton IEEE Signal Processing 29, 11, 2012 | 4 | 2012 |