-
1
-
-
84877799221
-
Enhanced gradient for training restricted Boltzmann machines
-
Cho, K., Raiko, T., Ilin, A.: Enhanced gradient for training restricted Boltzmann machines. Neural Computation 25(3), 805-831 (2013)
-
(2013)
Neural Computation
, vol.25
, Issue.3
, pp. 805-831
-
-
Cho, K.1
Raiko, T.2
Ilin, A.3
-
2
-
-
84884941662
-
A two-stage pretraining algorithm for deep Boltzmann machines
-
to appear, September
-
Cho, K., Raiko, T., Ilin, A., Karhunen, J.: A two-stage pretraining algorithm for deep Boltzmann machines. In: Proceedings of the 23rd International Conference on Artificial Neural Networks (to appear, September 2013)
-
(2013)
Proceedings of the 23rd International Conference on Artificial Neural Networks
-
-
Cho, K.1
Raiko, T.2
Ilin, A.3
Karhunen, J.4
-
3
-
-
84954202765
-
Online incremental feature learning with denoising autoencoders
-
Zhou, G., Sohn, K., Lee, H.: Online incremental feature learning with denoising autoencoders. In: Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), pp. 1453-1461 (2012)
-
(2012)
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012)
, pp. 1453-1461
-
-
Zhou, G.1
Sohn, K.2
Lee, H.3
-
4
-
-
84862281026
-
Learning the structure of deep sparse graphical models
-
Adams, R.P.,Wallach, H.M., Ghahramani, Z.: Learning the structure of deep sparse graphical models. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), pp. 1-8 (2010)
-
(2010)
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)
, pp. 1-8
-
-
Adams, R.P.1
Wallach, H.M.2
Ghahramani, Z.3
-
5
-
-
0035505658
-
A new pruning heuristic based on variance analysis of sensitivity information
-
Engelbrecht, A.P.: A new pruning heuristic based on variance analysis of sensitivity information. Transactions on Neural Networks 12(6), 1386-1399 (2001)
-
(2001)
Transactions on Neural Networks
, vol.12
, Issue.6
, pp. 1386-1399
-
-
Engelbrecht, A.P.1
-
6
-
-
0027662338
-
Pruning algorithms - A survey
-
Reed, R.: Pruning algorithms-a survey. Transactions on Neural Networks 4(5), 740-747 (1993)
-
(1993)
Transactions on Neural Networks
, vol.4
, Issue.5
, pp. 740-747
-
-
Reed, R.1
-
9
-
-
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
-
10
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
Hinton, G., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Computation 18(7), 1527-1554 (2006)
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.1
Osindero, S.2
Teh, Y.W.3
-
11
-
-
34547983260
-
Restricted Boltzmann machines for collaborative filtering
-
ACM, New York
-
Salakhutdinov, R., Mnih, A., Hinton, G.: Restricted Boltzmann machines for collaborative filtering. In: Proceedings of the 24th International Conference on Machine Learning (ICML 2007), pp. 791-798. ACM, New York (2007)
-
(2007)
Proceedings of the 24th International Conference on Machine Learning (ICML 2007)
, pp. 791-798
-
-
Salakhutdinov, R.1
Mnih, A.2
Hinton, G.3
-
12
-
-
84877724347
-
Multimodal learning with deep boltzmann machines
-
Bartlett, P., Pereira, F.C.N., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.)
-
Srivastava, N., Salakhutdinov, R.: Multimodal learning with deep boltzmann machines. In: Bartlett, P., Pereira, F.C.N., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 25, pp. 2231-2239 (2012)
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 2231-2239
-
-
Srivastava, N.1
Salakhutdinov, R.2
-
13
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
ACM
-
Lee, H., Grosse, R., Ranganath, R., Ng, A.: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In: Proceedings of the 26th Annual International Conference on Machine Learning (ICML 2009), pp. 609-616. ACM (2009)
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning (ICML 2009)
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.4
-
14
-
-
72249106174
-
-
Technical Report UTML TR 2008-002, Department of Computer Science, University of Toronto June
-
Salakhutdinov, R.: Learning and evaluating Boltzmann machines. Technical Report UTML TR 2008-002, Department of Computer Science, University of Toronto (June 2008)
-
(2008)
Learning and Evaluating Boltzmann Machines
-
-
Salakhutdinov, R.1
-
16
-
-
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 86, 2278-2324 (1998)
-
(1998)
Proceedings of the IEEE
, vol.86
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
17
-
-
85161966246
-
Sparse feature learning for deep belief networks
-
Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) MIT Press, Cambridge
-
Ranzato, M., Boureau, Y.L., LeCun, Y.: Sparse feature learning for deep belief networks. In: Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) Advances in Neural Information Processing Systems 20, pp. 1185-1192. MIT Press, Cambridge (2008)
-
(2008)
Advances in Neural Information Processing Systems
, vol.20
, pp. 1185-1192
-
-
Ranzato, M.1
Boureau, Y.L.2
LeCun, Y.3
|