-
5
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Hinton, G., Salakhutdinov, R.: 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.1
Salakhutdinov, R.2
-
6
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton, G.: Training products of experts by minimizing contrastive divergence. Neural Computation 14, 1771-1800 (2002)
-
(2002)
Neural Computation
, vol.14
, pp. 1771-1800
-
-
Hinton, G.1
-
7
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE (11), 2278-2324
-
Proceedings of the IEEE
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
8
-
-
80053455323
-
Inductive principles for restricted Boltzmann machine learning
-
Marlin, B.M., Swersky, K., Chen, B., de Freitas, N.: Inductive principles for restricted Boltzmann machine learning. In: Proc. of the 13th Int. Conf. on Artificial Intelligence and Statistics (AISTATS 2010), pp. 509-516 (2010)
-
(2010)
Proc. of the 13th Int. Conf. on Artificial Intelligence and Statistics (AISTATS 2010)
, pp. 509-516
-
-
Marlin, B.M.1
Swersky, K.2
Chen, B.3
De Freitas, N.4
-
9
-
-
84872571941
-
-
In: Montavon, G., Orr, G.B.,Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS Springer, Heidelberg
-
Montavon, G., Müller, K.-R.: Deep Boltzmann machines and the centering trick. In: Montavon, G., Orr, G.B.,Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 621-637. Springer, Heidelberg (2012)
-
(2012)
Deep Boltzmann Machines and the Centering Trick
, vol.7700
, pp. 621-637
-
-
Montavon, G.1
Müller, K.-R.2
-
10
-
-
84893414160
-
Deep learning made easier by linear transformations in perceptrons
-
La Palma, Canary Islands, Spain (April
-
Raiko, T., Valpola, H., LeCun, Y.: Deep learning made easier by linear transformations in perceptrons. In: Proc. of the 15th Int. Conf. on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, Spain (April 2012)
-
(2012)
Proc. of the 15th Int. Conf. on Artificial Intelligence and Statistics (AISTATS 2012
-
-
Raiko, T.1
Valpola, H.2
Lecun, Y.3
-
12
-
-
77956506016
-
-
In: Fürnkranz, J., Joachims, T. (eds.) Proc. of the 27th Int. Conf. on Machine Learning (ICML 2010) Omnipress, Haifa
-
Salakhutdinov, R.: Learning deep Boltzmann machines using adaptive MCMC. In: Fürnkranz, J., Joachims, T. (eds.) Proc. of the 27th Int. Conf. on Machine Learning (ICML 2010), pp. 943-950. Omnipress, Haifa (2010)
-
(2010)
Learning Deep Boltzmann Machines using Adaptive MCMC
, pp. 943-950
-
-
Salakhutdinov, R.1
-
15
-
-
71149084943
-
Using fast weights to improve persistent contrastive divergence
-
ACM, New York
-
Tieleman, T., Hinton, G.E.: Using fast weights to improve persistent contrastive divergence. In: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, pp. 1033-1040. ACM, New York (2009)
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009
, pp. 1033-1040
-
-
Tieleman, T.1
Hinton, G.E.2
-
16
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y.,Manzagol, P.A.: 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.A.5
|