-
2
-
-
84862612564
-
On contrastive divergence learning
-
Citeseer
-
M. A. Carreira-Perpinan and G. E. Hinton. On contrastive divergence learning. In AISTATS, Volume 10, pages 33-40. Citeseer, 2005.
-
(2005)
AISTATS
, vol.10
, pp. 33-40
-
-
Carreira-Perpinan, M.A.1
Hinton, G.E.2
-
3
-
-
85019228440
-
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
-
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel. Infogan: interpretable representation learning by information maximizing generative adversarial nets. In Advances in Neural Information Processing Systems, 2016.
-
(2016)
Advances in Neural Information Processing Systems
-
-
Chen, X.1
Duan, Y.2
Houthooft, R.3
Schulman, J.4
Sutskever, I.5
Abbeel, P.6
-
5
-
-
80053558787
-
Natural language processing (almost) from scratch
-
(Aug)
-
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa. Natural language processing (almost) from scratch. Journal of Machine Learning Research, 12(Aug):2493-2537, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2493-2537
-
-
Collobert, R.1
Weston, J.2
Bottou, L.3
Karlen, M.4
Kavukcuoglu, K.5
Kuksa, P.6
-
6
-
-
84933520514
-
Data augmentation for deep neural network acoustic modeling
-
X. Cui, V. Goel, and B. Kingsbury. Data augmentation for deep neural network acoustic modeling. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 23(9):1469-1477, 2015.
-
(2015)
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
, vol.23
, Issue.9
, pp. 1469-1477
-
-
Cui, X.1
Goel, V.2
Kingsbury, B.3
-
8
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
2009
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In IEEE Conference on Computer Vision and Pattern Recognition, 2009, 2009.
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
9
-
-
84965143571
-
Deep generative image models using a laplacian pyramid of adversarial networks
-
E. L. Denton, S. Chintala, a. szlam, and R. Fergus. Deep generative image models using a laplacian pyramid of adversarial networks. In Advances in Neural Information Processing Systems 28, pages 1486-1494. 2015.
-
(2015)
Advances in Neural Information Processing Systems
, vol.28
, pp. 1486-1494
-
-
Denton, E.L.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
10
-
-
85006822979
-
Adaptive data augmentation for image classification
-
IEEE
-
A. Fawzi, H. Samulowitz, D. Turaga, and P. Frossard. Adaptive data augmentation for image classification. In Image Processing (ICIP), 2016 IEEE International Conference on, pages 3688-3692. IEEE, 2016.
-
(2016)
Image Processing (ICIP), 2016 IEEE International Conference On
, pp. 3688-3692
-
-
Fawzi, A.1
Samulowitz, H.2
Turaga, D.3
Frossard, P.4
-
11
-
-
84937849144
-
Generative adversarial nets
-
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative adversarial nets. In Advances in neural information processing systems, pages 2672-2680, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 2672-2680
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
12
-
-
84890543083
-
Speech recognition with deep recurrent neural networks
-
IEEE
-
A. Graves, A.-r. Mohamed, and G. Hinton. Speech recognition with deep recurrent neural networks. In Acoustics, speech and signal processing (icassp), 2013 ieee international conference on, pages 6645-6649. IEEE, 2013.
-
(2013)
Acoustics, Speech and Signal Processing (icassp), 2013 Ieee International Conference On
, pp. 6645-6649
-
-
Graves, A.1
Mohamed, A.-R.2
Hinton, G.3
-
13
-
-
85067571143
-
Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation
-
S. Hauberg, O. Freifeld, A. B. L. Larsen, J. Fisher, and L. Hansen. Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation. In Artificial Intelligence and Statistics, pages 342-350, 2016.
-
(2016)
Artificial Intelligence and Statistics
, pp. 342-350
-
-
Hauberg, S.1
Freifeld, O.2
Larsen, A.B.L.3
Fisher, J.4
Hansen, L.5
-
14
-
-
84939247735
-
Spatial pyramid pooling in deep convolutional networks for visual recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE transactions on pattern analysis and machine intelligence, 37(9):1904-1916, 2015.
-
(2015)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.37
, Issue.9
, pp. 1904-1916
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
15
-
-
84986274465
-
Deep residual learning for image recognition
-
K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 770-778, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 770-778
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
16
-
-
84990050094
-
Identity mappings in deep residual networks
-
Springer
-
K. He, X. Zhang, S. Ren, and J. Sun. Identity mappings in deep residual networks. In European Conference on Computer Vision, pages 630-645. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 630-645
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
17
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Processing Magazine, 29(6):82-97, 2012.
-
(2012)
IEEE Signal Processing Magazine
, vol.29
, Issue.6
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.-R.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
-
20
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, 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
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
21
-
-
85047009423
-
Triple generative adversarial nets
-
C. Li, K. Xu, J. Zhu, and B. Zhang. Triple generative adversarial nets. CoRR, abs/1703.02291, 2017.
-
(2017)
CoRR
-
-
Li, C.1
Xu, K.2
Zhu, J.3
Zhang, B.4
-
25
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3):211-252, 2015.
-
(2015)
International Journal of Computer Vision
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
-
27
-
-
84933585162
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014.
-
(2014)
CoRR
-
-
Simonyan, K.1
Zisserman, A.2
-
28
-
-
0039215743
-
Tools for statistical inference: Observed data and data augmentation methods
-
M. A. Tanner. Tools for statistical inference: Observed data and data augmentation methods. Lecture Notes in Statistics, 67, 1991.
-
(1991)
Lecture Notes in Statistics
, vol.67
-
-
Tanner, M.A.1
-
29
-
-
84950758368
-
The calculation of posterior distributions by data augmentation
-
M. A. Tanner and W. H. Wong. The calculation of posterior distributions by data augmentation. Journal of the American statistical Association, 82(398):528-540, 1987.
-
(1987)
Journal of the American Statistical Association
, vol.82
, Issue.398
, pp. 528-540
-
-
Tanner, M.A.1
Wong, W.H.2
-
30
-
-
56149104083
-
Effective training of a neural network character classifier for word recognition
-
L. Yaeger, R. Lyon, and B. Webb. Effective training of a neural network character classifier for word recognition. In NIPS, Volume 9, pages 807-813, 1996.
-
(1996)
NIPS
, vol.9
, pp. 807-813
-
-
Yaeger, L.1
Lyon, R.2
Webb, B.3
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