-
2
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
MIT Press
-
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle. Greedy layer-wise training of deep networks. Advances in Neural Information Processing Systems 19, pages 153-160. MIT Press, 2007.
-
(2007)
Advances in Neural Information Processing Systems 19
, pp. 153-160
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
5
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G. E. Hinton, S. Osindero, and Y. W. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.W.3
-
6
-
-
84890466217
-
Improving neural networks by preventing co-adaptation of feature detectors
-
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. CoRR abs/1207.0580, 2012.
-
(2012)
CoRR abs/1207.0580
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
7
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. Le Cun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Le Cun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
8
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006.
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.2
-
10
-
-
84864069017
-
Efficient learning of sparse representations with an energy-based model
-
MIT Press
-
M. Ranzato, C. S. Poultney, S. Chopra, and Y. Le Cun. Efficient learning of sparse representations with an energy-based model. Advances in Neural Information Processing Systems 19, pages 1137-1144. MIT Press, 2007.
-
(2007)
Advances in Neural Information Processing Systems 19
, pp. 1137-1144
-
-
Ranzato, M.1
Poultney, C.S.2
Chopra, S.3
Le Cun, Y.4
-
12
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P. Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research, 11:3371-3408, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.5
-
13
-
-
84897550107
-
Regularization of neural networks using dropconnect
-
JMLR.org
-
L. Wan, M. D. Zeiler, S. Zhang, Y. Le Cun, and R. Fergus. Regularization of neural networks using dropconnect. International Conference on Machine Learning, pages 1058-1066. JMLR.org, (2013)
-
(2013)
International Conference on Machine Learning
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.D.2
Zhang, S.3
Le Cun, Y.4
Fergus, R.5
|