George E. Dahl
Title
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Year
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
104302012
On the importance of initialization and momentum in deep learning
I Sutskever, J Martens, G Dahl, G Hinton
International conference on machine learning, 1139-1147, 2013
39082013
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
32412010
Neural message passing for quantum chemistry
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
International conference on machine learning, 1263-1272, 2017
26642017
Acoustic modeling using deep belief networks
A Mohamed, GE Dahl, G Hinton
IEEE transactions on audio, speech, and language processing 20 (1), 14-22, 2011
19282011
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
15812015
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
14692018
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
14542013
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
7662015
Deep belief networks for phone recognition
A Mohamed, G Dahl, G Hinton
NIPS Workshop on Deep Learning for Speech Recognition and Related Applications, 2009
5482009
Detecting cancer metastases on gigapixel pathology images
Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ...
arXiv preprint arXiv:1703.02442, 2017
4992017
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
4432013
Phone recognition with the mean-covariance restricted Boltzmann machine
G Dahl, MA Ranzato, A Mohamed, GE Hinton
Advances in neural information processing systems 23, 469-477, 2010
4002010
Prediction errors of molecular machine learning models lower than hybrid DFT error
FA Faber, L Hutchison, B Huang, J Gilmer, SS Schoenholz, GE Dahl, ...
Journal of chemical theory and computation 13 (11), 5255-5264, 2017
3832017
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
3662011
Multi-task neural networks for QSAR predictions
GE Dahl, N Jaitly, R Salakhutdinov
arXiv preprint arXiv:1406.1231, 2014
2702014
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
2302011
Improvements to deep convolutional neural networks for LVCSR
TN Sainath, B Kingsbury, A Mohamed, GE Dahl, G Saon, H Soltau, ...
2013 IEEE workshop on automatic speech recognition and understanding, 315-320, 2013
2282013
Large scale distributed neural network training through online distillation
R Anil, G Pereyra, A Passos, R Ormandi, GE Dahl, GE Hinton
arXiv preprint arXiv:1804.03235, 2018
2232018
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
2232010
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