-
1
-
-
33745805403
-
A fast learning algorithm for deep belief networks
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief networks, " Neural Computation, vol. 18, no. 7, pp. 1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
2
-
-
0000134812
-
Une procédure d'apprentissage pour réseau a seuil asymmetrique (a learning scheme for asymmetric threshold networks
-
Y. LeCun, "Une procédure d'apprentissage pour réseau a seuil asymmetrique (a learning scheme for asymmetric threshold networks), " in Cognitiva 85, 1985.
-
(1985)
Cognitiva
, vol.85
-
-
Lecun, Y.1
-
3
-
-
0022471098
-
Learning representations by back-propagating errors
-
October
-
D. E. Rumelhart, G. E. Hinton, and R. J.Williams, "Learning representations by back-propagating errors, " Nature, vol. 323, pp. 533 - 536, October 1986.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
4
-
-
69349090197
-
Learning deep architectures for AI
-
Y. Bengio, "Learning deep architectures for AI, " Foundations and Trends in Machine Learning, vol. 2, no. 1, pp. 1-127, 2009.
-
(2009)
Foundations and Trends in Machine Learning
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
5
-
-
85150229208
-
Greedy layer-wise training of deep networks
-
Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle, "Greedy layer-wise training of deep networks, " in NIPS, 2006.
-
(2006)
NIPS
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
6
-
-
85112276587
-
Efficient learning of sparse representations with an energy-based model
-
M. Ranzato, C. Poultney, S. Chopra, and Y. LeCun, "Efficient learning of sparse representations with an energy-based model, " in NIPS, 2006.
-
(2006)
NIPS
-
-
Ranzato, M.1
Poultney, C.2
Chopra, S.3
Lecun, Y.4
-
7
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol, "Extracting and composing robust features with denoising autoencoders, " in ICML, 2008.
-
(2008)
ICML
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
8
-
-
0000329993
-
Information processing in dynamical systems: Foundations of harmony theory
-
ch. 6, MIT Press
-
P. Smolensky, "Information processing in dynamical systems: Foundations of harmony theory, " in Parallel Distributed Processing: Volume 1: Foundations, ch. 6, pp. 194-281, MIT Press, 1986.
-
(1986)
Parallel Distributed Processing: 1: Foundations
, pp. 194-281
-
-
Smolensky, P.1
-
9
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
G. E. Hinton, "Training products of experts by minimizing contrastive divergence, " Neural Computation, vol. 14, no. 8, p. 1771-1800, 2002.
-
(2002)
Neural Computation
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
10
-
-
85161980001
-
Sparse deep belief net model for visual area V2
-
H. Lee, C. Ekanadham, and A. Ng, "Sparse deep belief net model for visual area V2, " in NIPS, 2008.
-
(2008)
NIPS
-
-
Lee, H.1
Ekanadham, C.2
Ng, A.3
-
11
-
-
84899683325
-
Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity
-
H. Goh, N. Thome, and M. Cord, "Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity, " in NIPS Workshop, 2010.
-
(2010)
NIPS Workshop
-
-
Goh, H.1
Thome, N.2
Cord, M.3
-
12
-
-
56449110012
-
Classification using discriminative restricted Boltzmann machines
-
H. Larochelle and Y. Bengio, "Classification using discriminative restricted Boltzmann machines, " in ICML, 2008.
-
(2008)
ICML
-
-
Larochelle, H.1
Bengio, Y.2
-
13
-
-
45749110924
-
Representational power of restricted Boltzmann machines and deep belief networks
-
June
-
N. Le Roux and Y. Bengio, "Representational power of restricted Boltzmann machines and deep belief networks, " Neural Computation, vol. 20, pp. 1631-1649, June 2008.
-
(2008)
Neural Computation
, vol.20
, pp. 1631-1649
-
-
Le Roux, N.1
Bengio, Y.2
-
14
-
-
34547997421
-
Learning multilevel distributed representations for high-dimensional sequences
-
I. Sutskever and G. E. Hinton, "Learning multilevel distributed representations for high-dimensional sequences, " in AISTATS, 2007.
-
(2007)
AISTATS
-
-
Sutskever, I.1
Hinton, G.E.2
-
15
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
G. E. Hinton and R. Salakhutdinov, "Reducing the dimensionality of data with neural networks, " Science, vol. 28, pp. 504-507, 2006.
-
(2006)
Science
, vol.28
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.2
-
16
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
November
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, pp. 2278-2324, November 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
17
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
L. Fei-Fei, R. Fergus, and P. Perona, "Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories, " CVPR Workshop, 2004.
-
(2004)
CVPR Workshop
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
18
-
-
51949105316
-
Learning a nonlinear embedding by preserving class neighbourhood structure
-
R. Salakhutdinov and G. E. Hinton, "Learning a nonlinear embedding by preserving class neighbourhood structure, " in AISTATS, 2007.
-
(2007)
AISTATS
-
-
Salakhutdinov, R.1
Hinton, G.E.2
-
19
-
-
84865768819
-
Deep convex net: A scalable architecture for speech pattern classification
-
L. Deng and D. Yu, "Deep convex net: A scalable architecture for speech pattern classification, " in Interspeech, 2011.
-
(2011)
Interspeech
-
-
Deng, L.1
Yu, D.2
-
20
-
-
84866714584
-
Multi-column deep neural networks for image classification
-
D. C. Cireşan, U. Meier, and J. Schmidhuber, "Multi-column deep neural networks for image classification, " in CVPR, 2012.
-
(2012)
CVPR
-
-
Cireşan, D.C.1
Meier, U.2
Schmidhuber, J.3
-
21
-
-
51949107638
-
Object recognition from local scale-invariant features
-
D. Lowe, "Object recognition from local scale-invariant features, " in CVPR, 1999.
-
(1999)
CVPR
-
-
Lowe, D.1
-
22
-
-
77955993281
-
Learning mid-level features for recognition
-
Y. Boureau, F. Bach, Y. LeCun, and J. Ponce, "Learning mid-level features for recognition, " in CVPR, 2010.
-
(2010)
CVPR
-
-
Boureau, Y.1
Bach, F.2
Lecun, Y.3
Ponce, J.4
-
23
-
-
84875952649
-
Unsupervised and supervised visual codes with restricted Boltzmann machines
-
H. Goh, N. Thome, M. Cord, and J.-H. Lim, "Unsupervised and supervised visual codes with restricted Boltzmann machines, " in ECCV, 2012.
-
(2012)
ECCV
-
-
Goh, H.1
Thome, N.2
Cord, M.3
Lim, J.-H.4
-
24
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories, " in CVPR, 2006.
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
25
-
-
84875955437
-
Pooling in image representation: The visual codeword point of view
-
May
-
S. Avila, N. Thome, M. Cord, E. Valle, and A. Araújo, "Pooling in image representation: the visual codeword point of view, " Computer Vision and Image Understanding, pp. 453-465, May 2013.
-
(2013)
Computer Vision and Image Understanding
, pp. 453-465
-
-
Avila, S.1
Thome, N.2
Cord, M.3
Valle, E.4
Araújo, A.5
-
27
-
-
84863049755
-
Efficient learning of sparse, distributed, convolutional feature representations for object recognition
-
K. Sohn, D. Y. Jung, H. Lee, and A. Hero III, "Efficient learning of sparse, distributed, convolutional feature representations for object recognition, " in ICCV, 2011.
-
(2011)
ICCV
-
-
Sohn, K.1
Jung, D.Y.2
Lee, H.3
Hero III, A.4
-
28
-
-
84897565124
-
Learning and selecting features jointly with point-wise gated boltzmann machines
-
K. Sohn, G. Zhou, C. Lee, and H. Lee, "Learning and selecting features jointly with point-wise gated boltzmann machines, " in ICML, 2013.
-
(2013)
ICML
-
-
Sohn, K.1
Zhou, G.2
Lee, C.3
Lee, H.4
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