-
5
-
-
84892421248
-
-
arXiv preprint arXiv1302 4389
-
I. J. Goodfellow, D. Warde-Farley, M. Mirza, A. Courville, and Y. Bengio. Maxout networks. arXiv preprint arXiv:1302.4389, 2013.
-
(2013)
Maxout networks
-
-
Goodfellow, I.J.1
Warde-Farley, D.2
Mirza, M.3
Courville, A.4
Bengio, Y.5
-
9
-
-
85009867858
-
-
arXiv preprint arXiv 1408 5093
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093, 2014.
-
(2014)
Caffe: Convolutional architecture for fast feature embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
10
-
-
84973896955
-
Deep neural decision forests. [winner of the david marr prize 2015]. in Intl
-
P. Kontschieder, M. Fiterau, A. Criminisi, and S. R. Bulo'. Deep neural decision forests. [winner of the david marr prize 2015]. In Intl. Conf. on Computer Vision (ICCV), Santiago, Chile, December 2015.
-
(2015)
Conf. on Computer Vision (ICCV), Santiago, Chile, December
-
-
Kontschieder, P.1
Fiterau, M.2
Criminisi, A.3
Bulo, S.R.4
-
12
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks. in F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 1097-1105. Curran Associates, Inc., 2012.
-
(2012)
Advances in Neural Information Processing Systems 25, Pages 1097-1105. Curran Associates, Inc.
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
14
-
-
84943645147
-
-
ArXiv Preprint ArXiv 1409 5185
-
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu. Deeply-supervised nets. arXiv preprint arXiv:1409.5185, 2014.
-
(2014)
Deeply-Supervised Nets
-
-
Lee, C.-Y.1
Xie, S.2
Gallagher, P.3
Zhang, Z.4
Tu, Z.5
-
21
-
-
84979692409
-
The boosting approach to machine learning: An overview
-
Springer
-
R. E. Schapire. The boosting approach to machine learning: An overview. In Nonlinear estimation and classification, pages 149-171. Springer, 2003.
-
(2003)
Nonlinear Estimation and Classification
, pp. 149-171
-
-
Schapire, R.E.1
-
22
-
-
84910651844
-
Deep learning in neural networks: An overview
-
J. Schmidhuber. Deep learning in neural networks: An overview. Neural Networks, 61:85-117, 2015.
-
(2015)
Neural Networks
, vol.61
, pp. 85-117
-
-
Schmidhuber, J.1
-
26
-
-
84938920775
-
-
arXiv preprint arXiv 1502 05700
-
J. Snoek, O. Rippel, K. Swersky, R. Kiros, N. Satish, N. Sundaram, M. Patwary, M. Ali, R. P. Adams, et al. Scalable Bayesian optimization using deep neural networks. arXiv preprint arXiv:1502.05700, 2015.
-
(2015)
Scalable Bayesian optimization using deep neural networks
-
-
Snoek, J.1
Rippel, O.2
Swersky, K.3
Kiros, R.4
Satish, N.5
Sundaram, N.6
Patwary, M.7
Ali, M.8
Adams, R.P.9
-
27
-
-
84904163933
-
Dropout: A simple way to prevent neural networks from overfitting
-
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, 15(1):1929-1958, 2014.
-
(2014)
The Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
29
-
-
84941122549
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CoRR, abs/1409.4842, 2014.
-
(2014)
CoRR, Abs
, vol.1409
, pp. 4842
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
31
-
-
84897550107
-
Regularization of neural networks using dropconnect
-
L.Wan, M. Zeiler, S. Zhang, Y. L. Cun, and R. Fergus. Regularization of neural networks using dropconnect. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pages 1058-1066, 2013.
-
(2013)
Proceedings of the 30th International Conference on Machine Learning (ICML-13)
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.2
Zhang, S.3
Cun, Y.L.4
Fergus, R.5
-
32
-
-
85009880370
-
HD-cnn: Hierarchical deep convolutional neural network for large scale visual recognition
-
Z. Yan, H. Zhang, R. Piramuthu, V. Jagadeesh, D. De-Coste, W. Di, and Y. Yu. Hd-cnn: Hierarchical deep convolutional neural network for large scale visual recognition. December 2015.
-
(2015)
December
-
-
Yan, Z.1
Zhang, H.2
Piramuthu, R.3
Jagadeesh, V.4
De-Coste, D.5
Di, W.6
Yu, Y.7
|