-
1
-
-
84890526837
-
New types of deep neural network learning for speech recognition and related applications: An overview
-
L. Deng, G. Hinton, and B. Kingsbury, "New types of deep neural network learning for speech recognition and related applications: An overview, " in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, pp. 8599-8603.
-
(2013)
Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
, pp. 8599-8603
-
-
Deng, L.1
Hinton, G.2
Kingsbury, B.3
-
2
-
-
0000029122
-
A simple weight decay can improve generalization
-
John E. Moody, Steve J. Hanson, and Richard P. Lippmann, Eds
-
A. Krogh and J. A. Hertz, "A simple weight decay can improve generalization, " in Advances in Neural Information Processing Systems, John E. Moody, Steve J. Hanson, and Richard P. Lippmann, Eds, 1992, vol. 4, pp. 950-957.
-
(1992)
Advances in Neural Information Processing Systems
, vol.4
, pp. 950-957
-
-
Krogh, A.1
Hertz, J.A.2
-
3
-
-
84890466217
-
Improving neural networks by preventing co-adaptation of feature detectors
-
arXiv:1207, 0580
-
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, "Improving neural networks by preventing co-adaptation of feature detectors, " The Computing Research Repository (CoRR), 2012, arXiv:1207. 0580.
-
(2012)
The Computing Research Repository (CoRR)
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
4
-
-
84890527827
-
Improving deep neural networks for LVCSR using rectified linear units and dropout
-
G. E. Dahl, T. N. Sainath, and G. E. Hinton, "Improving deep neural networks for LVCSR using rectified linear units and dropout, " in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, pp. 8609-8613.
-
(2013)
Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
, pp. 8609-8613
-
-
Dahl, G.E.1
Sainath, T.N.2
Hinton, G.E.3
-
5
-
-
84897550107
-
Regularization of neural networks using dropconnect
-
L. Wan, M. D. Zeiler, S. Zhang, Y. LeCun, and R. Fergus, "Regularization of neural networks using dropconnect, " in Proceeding of International Conference on Machine Learning (ICML), 2013, vol. 28, pp. 1058-1066.
-
(2013)
Proceeding of International Conference on Machine Learning (ICML)
, vol.28
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.D.2
Zhang, S.3
Lecun, Y.4
Fergus, R.5
-
7
-
-
84867671137
-
Tikhonov-type regularization for restricted Boltzmann machines
-
K. Cho, A. Ilin, and T. Raiko, "Tikhonov-type regularization for restricted Boltzmann machines, " in Proceeding of International Conference on Artificial Neural Networks (ICANN), 2012, pp. 81-88.
-
(2012)
Proceeding of International Conference on Artificial Neural Networks (ICANN)
, pp. 81-88
-
-
Cho, K.1
Ilin, A.2
Raiko, T.3
-
8
-
-
84872506495
-
A practical guide to training restricted Boltzmann machines
-
(2nd ed.)
-
G. E. Hinton, "A practical guide to training restricted Boltzmann machines, " in Neural Networks: Tricks of the Trade (2nd ed. ), pp. 599-619. 2012.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 599-619
-
-
Hinton, G.E.1
-
9
-
-
0001740650
-
Training with noise is equivalent to Tikhonov regularization
-
C. M. Bishop, "Training with noise is equivalent to Tikhonov regularization, " Neural Computation, vol. 7, no. 1, pp. 108-116, 1995.
-
(1995)
Neural Computation
, vol.7
, Issue.1
, pp. 108-116
-
-
Bishop, C.M.1
-
10
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
S. Rifai, P. Vincent, X. Muller, X. Glorot, and Y. Bengio, "Contractive auto-encoders: explicit invariance during feature extraction, " in Proceeding of International Conference on Machine Learning (ICML), 2011, pp. 833-840.
-
(2011)
Proceeding of International Conference on Machine Learning (ICML)
, pp. 833-840
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
11
-
-
84858953642
-
The Kaldi speech recognition toolkit
-
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, "The Kaldi speech recognition toolkit, " in Proceeding of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2011.
-
(2011)
Proceeding of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
-
-
Povey, D.1
Ghoshal, A.2
Boulianne, G.3
Burget, L.4
Glembek, O.5
Goel, N.6
Hannemann, M.7
Motlicek, P.8
Qian, Y.9
Schwarz, P.10
Silovsky, J.11
Stemmer, G.12
Vesely, K.13
-
13
-
-
84892187452
-
Maximum likelihood modeling with Gaussian distributions for classification
-
R. A. Gopinath, "Maximum likelihood modeling with Gaussian distributions for classification, " in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 1998, pp. 661-664.
-
(1998)
Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
, pp. 661-664
-
-
Gopinath, R.A.1
-
14
-
-
84867585919
-
Understanding how deep belief networks perform acoustic modelling
-
A. Mohamed, G. E. Hinton, and G. Penn, "Understanding how deep belief networks perform acoustic modelling, " in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, pp. 4273-4276.
-
(2012)
Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
, pp. 4273-4276
-
-
Mohamed, A.1
Hinton, G.E.2
Penn, G.3
-
15
-
-
84906274730
-
Sequence-discriminative training of deep neural networks
-
K. Veselý, A. Ghoshal, L. Burget, and D. Povey, "Sequence-discriminative training of deep neural networks, " in Proceedings of Annual Conference of International Speech Communication Association (INTERSPEECH), 2013, pp. 2345-2349.
-
(2013)
Proceedings of Annual Conference of International Speech Communication Association (INTERSPEECH)
, pp. 2345-2349
-
-
Veselý, K.1
Ghoshal, A.2
Burget, L.3
Povey, D.4
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