-
1
-
-
84930634427
-
On the number of linear regions of deep neural networks
-
Guido F Montufar, Razvan Pascanu, Kyunghyun Cho, and Yoshua Bengio, "On the number of linear regions of deep neural networks, " in Advances in Neural Information Processing Systems (NIPS), 2014, pp. 2924-2932.
-
(2014)
Advances in Neural Information Processing Systems (NIPS)
, pp. 2924-2932
-
-
Montufar, G.F.1
Pascanu, R.2
Cho, K.3
Bengio, Y.4
-
3
-
-
84893676344
-
Rectifier nonlinearities improve neural network acoustic models
-
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng, "Rectifier nonlinearities improve neural network acoustic models, " in Proc. ICML, 2013, vol. 30.
-
(2013)
ICML. Proc
, vol.30
-
-
Maas, A.L.1
Hannun, A.Y.2
Ng, A.Y.3
-
4
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification, " IEEE International Conference on Computer Vision (ICCV), 2015.
-
(2015)
IEEE International Conference on Computer Vision (ICCV)
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
5
-
-
84898978862
-
Compete to compute
-
Rupesh K Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez, and Jürgen Schmidhuber, "Compete to compute, " in Advances in Neural Information Processing Systems (NIPS), 2013, pp. 2310-2318.
-
(2013)
Advances in Neural Information Processing Systems (NIPS)
, pp. 2310-2318
-
-
Srivastava, R.K.1
Masci, J.2
Kazerounian, S.3
Gomez, F.4
Schmidhuber, J.5
-
6
-
-
84897543523
-
Maxout networks
-
Ian J Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, and Yoshua Bengio, "Maxout networks, " The 30th International Conference on Machine Learning (ICML), 2013.
-
(2013)
The 30th International Conference on Machine Learning (ICML)
-
-
Goodfellow, I.J.1
Warde-Farley, D.2
Mirza, M.3
Courville, A.4
Bengio, Y.5
-
7
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton, "Imagenet classification with deep convolutional neural networks, " in Advances in neural information processing systems (NIPS), 2012, pp. 1097-1105.
-
(2012)
Advances in Neural Information Processing Systems (NIPS)
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
8
-
-
77956002520
-
-
Computer Science Department, University of Toronto, Tech. Rep
-
Alex Krizhevsky and Geoffrey Hinton, "Learning multiple layers of features from tiny images, " Computer Science Department, University of Toronto, Tech. Rep, vol. 1, no. 4, pp. 7, 2009.
-
(2009)
Learning Multiple Layers of Features from Tiny Images
, vol.1
, Issue.4
, pp. 7
-
-
Krizhevsky, A.1
Hinton, G.2
-
9
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 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
-
10
-
-
84865114495
-
Reading digits in natural images with unsupervised feature learning
-
Granada, Spain
-
Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, BoWu, and Andrew Y Ng, "Reading digits in natural images with unsupervised feature learning, " in NIPS workshop on deep learning and unsupervised feature learning. Granada, Spain, 2011, vol. 2011, p. 5.
-
(2011)
NIPS Workshop on Deep Learning and Unsupervised Feature Learning
, vol.2011
, pp. 5
-
-
Netzer, Y.1
Wang, T.2
Coates, A.3
Bissacco, A.4
Wu, B.5
Ng, A.Y.6
-
11
-
-
85083953134
-
Understanding locally competitive networks
-
Rupesh Kumar Srivastava, Jonathan Masci, Faustino Gomez, and Jürgen Schmidhuber, "Understanding locally competitive networks, " International Conference on Learning Representations (ICLR), 2015.
-
(2015)
International Conference on Learning Representations (ICLR)
-
-
Srivastava, K.R.1
Masci, J.2
Gomez, F.3
Schmidhuber, J.4
-
12
-
-
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, " International Conference on Machine Learning (ICML), 2015.
-
(2015)
International Conference on Machine Learning (ICML)
-
-
Ioffe, S.1
Szegedy, C.2
-
13
-
-
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, " The Journal of Machine Learning Research, vol. 15, no. 1, pp. 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
-
14
-
-
84921817164
-
Learning representations by back-propagating errors
-
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams, "Learning representations by back-propagating errors, " Cognitive modeling, vol. 5, 1988.
-
(1988)
Cognitive Modeling
, vol.5
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
18
-
-
84990053967
-
Deeply-supervised nets
-
Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu, "Deeply-supervised nets, " In Proceedings of AISTATS, 2015.
-
(2015)
Proceedings of AISTATS
-
-
Lee, C.1
Xie, S.2
Gallagher, P.3
Zhang, Z.4
Tu, Z.5
-
21
-
-
84897550107
-
Regularization of neural networks using dropconnect
-
Li Wan, Matthew Zeiler, Sixin Zhang, Yann L Cun, and Rob Fergus, "Regularization of neural networks using dropconnect, " in Proceedings of the 30th International Conference on Machine Learning (ICML), 2013, pp. 1058-1066.
-
(2013)
Proceedings of the 30th International Conference on Machine Learning (ICML)
, pp. 1058-1066
-
-
Wan, L.1
Zeiler, M.2
Zhang, S.3
Cun, Y.L.4
Fergus, R.5
|