-
1
-
-
84857855190
-
Random search for hyper-parameter optimization
-
Bergstra, James and Bengio, Yoshua. Random search for hyper-parameter optimization. JMLR, 2012.
-
(2012)
JMLR
-
-
Bergstra, J.1
Bengio, Y.2
-
2
-
-
85162494200
-
Selecting receptive fields in deep networks
-
Coates, Adam and Ng, Andrew. Selecting receptive fields in deep networks. NIPS, 2011.
-
(2011)
NIPS
-
-
Coates, A.1
Ng, A.2
-
3
-
-
84872575253
-
Learning feature representations with k-means
-
Springer
-
Coates, Adam and Ng, Andrew Y. Learning feature representations with k-means. In Neural Networks: Tricks of the Trade, pp. 561–580. Springer, 2012.
-
(2012)
Neural Networks: Tricks of the Trade
, pp. 561-580
-
-
Coates, A.1
Ng, A.Y.2
-
4
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, Jia, Dong, Wei, Socher, Richard, Li, Li-Jia, Li, Kai, and Fei-Fei, Li. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pp. 248–255. IEEE, 2009.
-
(2009)
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
5
-
-
84965154087
-
-
arXiv preprint
-
Denton, Emily, Chintala, Soumith, Szlam, Arthur, and Fergus, Rob. Deep generative image models using a laplacian pyramid of adversarial networks. arXiv preprint arXiv:1506.05751, 2015.
-
(2015)
Deep Generative Image Models Using A Laplacian Pyramid of Adversarial Networks
-
-
Denton, E.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
7
-
-
85041818715
-
Discriminative unsupervised feature learning with exemplar convolutional neural networks
-
Dosovitskiy, Alexey, Fischer, Philipp, Springenberg, Jost Tobias, Riedmiller, Martin, and Brox, Thomas. Discriminative unsupervised feature learning with exemplar convolutional neural networks. In Pattern Analysis and Machine Intelligence, IEEE Transactions on, volume 99. IEEE, 2015.
-
(2015)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.99
-
-
Dosovitskiy, A.1
Fischer, P.2
Springenberg, J.T.3
Riedmiller, M.4
Brox, T.5
-
8
-
-
0033285309
-
Texture synthesis by non-parametric sampling
-
Efros, Alexei, Leung, Thomas K, et al. Texture synthesis by non-parametric sampling. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, volume 2, pp. 1033–1038. IEEE, 1999.
-
(1999)
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
, vol.2
, pp. 1033-1038
-
-
Efros, A.1
Leung, T.K.2
-
9
-
-
0036500772
-
Example-based super-resolution
-
Freeman, William T, Jones, Thouis R, and Pasztor, Egon C. Example-based super-resolution. Computer Graphics and Applications, IEEE, 22(2):56–65, 2002.
-
(2002)
Computer Graphics and Applications, IEEE
, vol.22
, Issue.2
, pp. 56-65
-
-
Freeman, W.T.1
Jones, T.R.2
Pasztor, E.C.3
-
10
-
-
84892421248
-
-
arXiv preprint
-
Goodfellow, Ian J, Warde-Farley, David, Mirza, Mehdi, Courville, Aaron, and Bengio, Yoshua. 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
-
11
-
-
84937849144
-
Generative adversarial nets
-
Goodfellow, Ian J., Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron C., and Bengio, Yoshua. Generative adversarial nets. NIPS, 2014.
-
(2014)
NIPS
-
-
Goodfellow, I.J.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.C.7
Bengio, Y.8
-
12
-
-
84965100881
-
-
arXiv preprint
-
Gregor, Karol, Danihelka, Ivo, Graves, Alex, and Wierstra, Daan. Draw: A recurrent neural network for image generation. arXiv preprint arXiv:1502.04623, 2015.
-
(2015)
Draw: A Recurrent Neural Network for Image Generation
-
-
Gregor, K.1
Danihelka, I.2
Graves, A.3
Wierstra, D.4
-
13
-
-
85015190946
-
-
arXiv preprint
-
Hardt, Moritz, Recht, Benjamin, and Singer, Yoram. Train faster, generalize better: Stability of stochastic gradient descent. arXiv preprint arXiv:1509.01240, 2015.
-
(2015)
Train Faster, Generalize Better: Stability of Stochastic Gradient Descent
-
-
Hardt, M.1
Recht, B.2
Singer, Y.3
-
14
-
-
85027974503
-
-
arXiv preprint
-
Hauberg, Sren, Freifeld, Oren, Larsen, Anders Boesen Lindbo, Fisher III, John W., and Hansen, Lars Kair. Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation. arXiv preprint arXiv:1510.02795, 2015.
-
(2015)
Dreaming More Data: Class-Dependent Distributions over Diffeomorphisms for Learned Data Augmentation
-
-
Hauberg, S.1
Freifeld, O.2
Larsen, A.B.L.3
Fisher, I.I.I.4
John, W.5
Hansen, L.K.6
-
15
-
-
34547673022
-
Scene completion using millions of photographs
-
Hays, James and Efros, Alexei A. Scene completion using millions of photographs. ACM Transactions on Graphics (TOG), 26(3):4, 2007.
-
(2007)
ACM Transactions on Graphics (TOG)
, vol.26
, Issue.3
, pp. 4
-
-
Hays, J.1
Efros, A.A.2
-
19
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
Lee, Honglak, Grosse, Roger, Ranganath, Rajesh, and Ng, Andrew Y. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In Proceedings of the 26th Annual International Conference on Machine Learning, pp. 609–616. ACM, 2009.
-
(2009)
Proceedings of the 26th Annual International Conference on Machine Learning
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
20
-
-
57849102080
-
Training invariant support vector machines using selective sampling
-
Bottou, Léon, Chapelle, Olivier, DeCoste, Dennis, and Weston, Jason (eds), MIT Press, Cambridge, MA
-
Loosli, Gaëlle, Canu, Stéphane, and Bottou, Léon. Training invariant support vector machines using selective sampling. In Bottou, Léon, Chapelle, Olivier, DeCoste, Dennis, and Weston, Jason (eds.), Large Scale Kernel Machines, pp. 301–320. MIT Press, Cambridge, MA., 2007. URL http://leon.bottou.org/papers/loosli-canu-bottou-2006.
-
(2007)
Large Scale Kernel Machines
, pp. 301-320
-
-
Loosli, G.1
Canu, S.2
Bottou, L.3
-
21
-
-
84893676344
-
Rectifier nonlinearities improve neural network acoustic models
-
Maas, Andrew L, Hannun, Awni Y, and Ng, Andrew Y. Rectifier nonlinearities improve neural network acoustic models. In Proc. ICML, volume 30, 2013.
-
(2013)
Proc. ICML
, vol.30
-
-
Maas, A.L.1
Hannun, A.Y.2
Ng, A.Y.3
-
22
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Mikolov, Tomas, Sutskever, Ilya, Chen, Kai, Corrado, Greg S, and Dean, Jeff. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pp. 3111–3119, 2013.
-
(2013)
Advances in Neural Information Processing Systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
25
-
-
84865114495
-
Reading digits in natural images with unsupervised feature learning
-
Granada, Spain
-
Netzer, Yuval, Wang, Tao, Coates, Adam, Bissacco, Alessandro, Wu, Bo, and Ng, Andrew Y. Reading digits in natural images with unsupervised feature learning. In NIPS workshop on deep learning and unsupervised feature learning, volume 2011, pp. 5. Granada, Spain, 2011.
-
(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
-
26
-
-
84911449395
-
Learning and transferring mid-level image representations using convolutional neural networks
-
Oquab, M., Bottou, L., Laptev, I., and Sivic, J. Learning and transferring mid-level image representations using convolutional neural networks. In CVPR, 2014.
-
(2014)
CVPR
-
-
Oquab, M.1
Bottou, L.2
Laptev, I.3
Sivic, J.4
-
27
-
-
0034291204
-
A parametric texture model based on joint statistics of complex wavelet coefficients
-
Portilla, Javier and Simoncelli, Eero P. A parametric texture model based on joint statistics of complex wavelet coefficients. International Journal of Computer Vision, 40(1):49–70, 2000.
-
(2000)
International Journal of Computer Vision
, vol.40
, Issue.1
, pp. 49-70
-
-
Portilla, J.1
Simoncelli, E.P.2
-
28
-
-
84965095587
-
-
arXiv preprint
-
Rasmus, Antti, Valpola, Harri, Honkala, Mikko, Berglund, Mathias, and Raiko, Tapani. Semi-supervised learning with ladder network. arXiv preprint arXiv:1507.02672, 2015.
-
(2015)
Semi-Supervised Learning with Ladder Network
-
-
Rasmus, A.1
Valpola, H.2
Honkala, M.3
Berglund, M.4
Raiko, T.5
-
29
-
-
85018934798
-
-
arXiv preprint
-
Sohl-Dickstein, Jascha, Weiss, Eric A, Maheswaranathan, Niru, and Ganguli, Surya. Deep unsupervised learning using nonequilibrium thermodynamics. arXiv preprint arXiv:1503.03585, 2015.
-
(2015)
Deep Unsupervised Learning Using Nonequilibrium Thermodynamics
-
-
Sohl-Dickstein, J.1
Weiss, E.A.2
Maheswaranathan, N.3
Ganguli, S.4
-
30
-
-
84962006941
-
-
arXiv preprint
-
Springenberg, Jost Tobias, Dosovitskiy, Alexey, Brox, Thomas, and Riedmiller, Martin. Striving for simplicity: The all convolutional net. arXiv preprint arXiv:1412.6806, 2014.
-
(2014)
Striving for Simplicity: The All Convolutional Net
-
-
Springenberg, J.T.1
Dosovitskiy, A.2
Brox, T.3
Riedmiller, M.4
-
31
-
-
84937833964
-
-
arXiv preprint
-
Srivastava, Rupesh Kumar, Masci, Jonathan, Gomez, Faustino, and Schmidhuber, Jürgen. Understanding locally competitive networks. arXiv preprint arXiv:1410.1165, 2014.
-
(2014)
Understanding Locally Competitive Networks
-
-
Srivastava, R.K.1
Masci, J.2
Gomez, F.3
Schmidhuber, J.4
-
33
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
Vincent, Pascal, Larochelle, Hugo, Lajoie, Isabelle, Bengio, Yoshua, and Manzagol, Pierre-Antoine. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. The Journal of Machine Learning Research, 11:3371–3408, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
34
-
-
84960920723
-
-
arXiv preprint
-
Xu, Bing, Wang, Naiyan, Chen, Tianqi, and Li, Mu. Empirical evaluation of rectified activations in convolutional network. arXiv preprint arXiv:1505.00853, 2015.
-
(2015)
Empirical Evaluation of Rectified Activations in Convolutional Network
-
-
Xu, B.1
Wang, N.2
Chen, T.3
Li, M.4
-
35
-
-
84979976120
-
-
arXiv preprint
-
Yu, Fisher, Zhang, Yinda, Song, Shuran, Seff, Ari, and Xiao, Jianxiong. Construction of a large-scale image dataset using deep learning with humans in the loop. arXiv preprint arXiv:1506.03365, 2015.
-
(2015)
Construction of A Large-Scale Image Dataset Using Deep Learning with Humans in the Loop
-
-
Yu, F.1
Zhang, Y.2
Song, S.3
Seff, A.4
Xiao, J.5
-
36
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Springer
-
Zeiler, Matthew D and Fergus, Rob. Visualizing and understanding convolutional networks. In Computer Vision–ECCV 2014, pp. 818–833. Springer, 2014.
-
(2014)
Computer Vision–ECCV 2014
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
37
-
-
84965095288
-
-
arXiv preprint
-
Zhao, Junbo, Mathieu, Michael, Goroshin, Ross, and Lecun, Yann. Stacked what-where autoencoders. arXiv preprint arXiv:1506.02351, 2015.
-
(2015)
Stacked What-Where Autoencoders
-
-
Zhao, J.1
Mathieu, M.2
Goroshin, R.3
Lecun, Y.4
|