-
3
-
-
56449123056
-
Semi-supervised learning of compact document representations with deep networks
-
ACM
-
Marc' Aurelio Ranzato and Martin Szummer. Semi-supervised learning of compact document representations with deep networks. In Proc. of ICML 2008, pages 792-799. ACM, 2008.
-
(2008)
Proc. of ICML 2008
, pp. 792-799
-
-
Ranzato, M.A.1
Szummer, M.2
-
4
-
-
84937964776
-
Discriminative unsupervised feature learning with convolutional neural networks
-
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, and Thomas Brox. Discriminative unsupervised feature learning with convolutional neural networks. In Advances in Neural Information Processing Systems 27 (NIPS 2014), pages 766-774, 2014.
-
(2014)
Advances in Neural Information Processing Systems 27 (NIPS 2014)
, pp. 766-774
-
-
Dosovitskiy, A.1
Springenberg, J.T.2
Riedmiller, M.3
Brox, T.4
-
5
-
-
84898988737
-
Multi-prediction deep Boltzmann machines
-
Ian Goodfellow, Mehdi Mirza, Aaron Courville, and Yoshua Bengio. Multi-prediction deep Boltzmann machines. In Advances in Neural Information Processing Systems 26 (NIPS 2013), pages 548-556, 2013.
-
(2013)
Advances in Neural Information Processing Systems 26 (NIPS 2013)
, pp. 548-556
-
-
Goodfellow, I.1
Mirza, M.2
Courville, A.3
Bengio, Y.4
-
6
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Geoffrey E Hinton and Ruslan 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.R.2
-
8
-
-
84965095587
-
-
arXiv preprint arXiv:1507.02672
-
Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, and Tapani Raiko. Semi-supervised learning with ladder networks. arXiv preprint arXiv:1507.02672, 2015.
-
(2015)
Semi-supervised Learning with Ladder Networks
-
-
Rasmus, A.1
Valpola, H.2
Honkala, M.3
Berglund, M.4
Raiko, T.5
-
10
-
-
0026017007
-
Creating artificial neural networks that generalize
-
Jocelyn Sietsma and Robert JF Dow. Creating artificial neural networks that generalize. Neural networks, 4(1):67-79, 1991.
-
(1991)
Neural Networks
, vol.4
, Issue.1
, pp. 67-79
-
-
Sietsma, J.1
Dow, R.J.F.2
-
11
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. JMLR, 11:3371-3408, 2010.
-
(2010)
JMLR
, vol.11
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
12
-
-
21844473003
-
Denoising source separation
-
Jaakko Särelä and Harri Valpola. Denoising source separation. JMLR, 6:233-272, 2005.
-
(2005)
JMLR
, vol.6
, pp. 233-272
-
-
Särelä, J.1
Valpola, H.2
-
13
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
Sergey Ioffe and Christian Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning (ICML), pages 448-456, 2015.
-
(2015)
International Conference on Machine Learning (ICML)
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
15
-
-
84872553130
-
Deep learning via semi-supervised embedding
-
Springer
-
Jason Weston, Frédéric Ratle, Hossein Mobahi, and Ronan Collobert. Deep learning via semi-supervised embedding. In Neural Networks: Tricks of the Trade, pages 639-655. Springer, 2012.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 639-655
-
-
Weston, J.1
Ratle, F.2
Mobahi, H.3
Collobert, R.4
-
16
-
-
85162427692
-
The manifold tangent classifier
-
Salah Rifai, Yann N Dauphin, Pascal Vincent, Yoshua Bengio, and Xavier Muller. The manifold tangent classifier. In Advances in Neural Information Processing Systems 24 (NIPS 2011), pages 2294-2302, 2011.
-
(2011)
Advances in Neural Information Processing Systems 24 (NIPS 2011)
, pp. 2294-2302
-
-
Rifai, S.1
Dauphin, Y.N.2
Vincent, P.3
Bengio, Y.4
Muller, X.5
-
17
-
-
84922375195
-
Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
-
Dong-Hyun Lee. Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. In Workshop on Challenges in Representation Learning, ICML 2013, 2013.
-
(2013)
Workshop on Challenges in Representation Learning, ICML 2013
-
-
Lee, D.-H.1
-
19
-
-
84930643107
-
Semi-supervised learning with deep generative models
-
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling. Semi-supervised learning with deep generative models. In Advances in Neural Information Processing Systems 27 (NIPS 2014), pages 3581-3589, 2014.
-
(2014)
Advances in Neural Information Processing Systems 27 (NIPS 2014)
, pp. 3581-3589
-
-
Kingma, D.P.1
Mohamed, S.2
Rezende, D.J.3
Welling, M.4
-
20
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. Dropout: A simple way to prevent neural networks from overfitting. JMLR, 15(1):1929-1958, 2014.
-
(2014)
JMLR
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
22
-
-
84965162688
-
-
arXiv:1507.00677
-
Takeru Miyato, Shin ichi Maeda, Masanori Koyama, Ken Nakae, and Shin Ishii. Distributional smoothing by virtual adversarial examples. arXiv:1507.00677, 2015.
-
(2015)
Distributional Smoothing by Virtual Adversarial Examples
-
-
Miyato, T.1
Maeda, S.I.2
Koyama, M.3
Nakae, K.4
Ishii, S.5
-
26
-
-
84897543523
-
Maxout networks
-
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, and Yoshua Bengio. Maxout networks. In Proc. of ICML 2013, 2013.
-
(2013)
Proc. of ICML 2013
-
-
Goodfellow, I.J.1
Warde-Farley, D.2
Mirza, M.3
Courville, A.4
Bengio, Y.5
-
27
-
-
84867135004
-
Large-scale feature learning with spike-and-slab sparse coding
-
Ian Goodfellow, Yoshua Bengio, and Aaron C Courville. Large-scale feature learning with spike-and-slab sparse coding. In Proc. of ICML 2012, pages 1439-1446, 2012.
-
(2012)
Proc. of ICML 2012
, pp. 1439-1446
-
-
Goodfellow, I.1
Bengio, Y.2
Courville, A.C.3
-
28
-
-
0040908393
-
Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis
-
G. McLachlan. Iterative reclassification procedure for constructing an asymptotically optimal rule of allocation in discriminant analysis. J. American Statistical Association, 70:365-369, 1975.
-
(1975)
J. American Statistical Association
, vol.70
, pp. 365-369
-
-
McLachlan, G.1
-
31
-
-
84856686379
-
Adaptive deconvolutional networks for mid and high level feature learning
-
IEEE
-
Matthew D Zeiler, Graham W Taylor, and Rob Fergus. Adaptive deconvolutional networks for mid and high level feature learning. In ICCV 2011, pages 2018-2025. IEEE, 2011.
-
(2011)
ICCV 2011
, pp. 2018-2025
-
-
Zeiler, M.D.1
Taylor, G.W.2
Fergus, R.3
-
32
-
-
84897544737
-
Theano: New features and speed improvements
-
Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, and Yoshua Bengio. Theano: new features and speed improvements. Deep Learning and Unsupervised Feature Learning NIPS 2012 Workshop, 2012.
-
(2012)
Deep Learning and Unsupervised Feature Learning NIPS 2012 Workshop
-
-
Bastien, F.1
Lamblin, P.2
Pascanu, R.3
Bergstra, J.4
Goodfellow, I.J.5
Bergeron, A.6
Bouchard, N.7
Bengio, Y.8
-
33
-
-
84962564531
-
-
CoRR, abs/1506.00619
-
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, and Yoshua Bengio. Blocks and fuel: Frameworks for deep learning. CoRR, abs/1506.00619, 2015. URL http://arxiv.org/abs/1506.00619.
-
(2015)
Blocks and Fuel: Frameworks for Deep Learning
-
-
Van Merriënboer, B.1
Bahdanau, D.2
Dumoulin, V.3
Serdyuk, D.4
Warde-Farley, D.5
Chorowski, J.6
Bengio, Y.7
|