-
1
-
-
21344435992
-
Invariant visual representation by single neurons in the human brain
-
R. Q. Quiroga, L. Reddy, G. Kreiman, C. Koch, and I. Fried. Invariant visual representation by single neurons in the human brain. Nature, 435(7045): 1102-1107, 2005.
-
(2005)
Nature
, vol.435
, Issue.7045
, pp. 1102-1107
-
-
Quiroga, R.Q.1
Reddy, L.2
Kreiman, G.3
Koch, C.4
Fried, I.5
-
2
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Springer
-
M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In Computer Vision-ECCV 2014, pages 818-833. Springer, 2014.
-
(2014)
Computer Vision-ECCV 2014
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
4
-
-
77949524387
-
-
Dept. IRO, Université de Montréal, Tech. Rep
-
D. Erhan, Y. Bengio, A. Courville, and P. Vincent. Visualizing higher-layer features of a deep network. Dept. IRO, Université de Montréal, Tech. Rep, 4323, 2009.
-
(2009)
Visualizing Higher-Layer Features of a Deep Network
, pp. 4323
-
-
Erhan, D.1
Bengio, Y.2
Courville, A.3
Vincent, P.4
-
5
-
-
85083953896
-
Deep inside convolutional networks: Visualising image classification models and saliency maps
-
K. Simonyan, A. Vedaldi, and A. Zisserman. Deep inside convolutional networks: Visualising image classification models and saliency maps. ICLR workshop, 2014.
-
(2014)
ICLR Workshop
-
-
Simonyan, K.1
Vedaldi, A.2
Zisserman, A.3
-
7
-
-
84959091021
-
Understanding neural networks through deep visualization
-
J. Yosinski, J. Clune, A. Nguyen, T. Fuchs, and H. Lipson. Understanding neural networks through deep visualization. In Deep Learning Workshop, ICML conference, 2015.
-
(2015)
Deep Learning Workshop, ICML Conference
-
-
Yosinski, J.1
Clune, J.2
Nguyen, A.3
Fuchs, T.4
Lipson, H.5
-
9
-
-
84988351612
-
Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks
-
A. Nguyen, J. Yosinski, and J. Clune. Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks. In Visualization for Deep Learning Workshop, ICML conference, 2016.
-
(2016)
Visualization for Deep Learning Workshop, ICML Conference
-
-
Nguyen, A.1
Yosinski, J.2
Clune, J.3
-
10
-
-
84970981476
-
Inceptionism: Going deeper into neural networks
-
Retrieved June, 20, 2015
-
A. Mordvintsev, C. Olah, and M. Tyka. Inceptionism: Going deeper into neural networks. Google Research Blog. Retrieved June, 20, 2015.
-
Google Research Blog
-
-
Mordvintsev, A.1
Olah, C.2
Tyka, M.3
-
11
-
-
85019269786
-
Generating images with perceptual similarity metrics based on deep networks
-
A. Dosovitskiy and T. Brox. Generating images with perceptual similarity metrics based on deep networks. In NIPS, 2016.
-
(2016)
NIPS
-
-
Dosovitskiy, A.1
Brox, T.2
-
12
-
-
85083950260
-
A note on the evaluation of generative models
-
L. Theis, A. van den Oord, and M. Bethge. A note on the evaluation of generative models. In ICLR, 2016.
-
(2016)
ICLR
-
-
Theis, L.1
Van Den Oord, A.2
Bethge, M.3
-
14
-
-
85083952489
-
Auto-encoding variational bayes
-
D. P. Kingma and M. Welling. Auto-encoding variational bayes. In ICLR, 2014.
-
(2014)
ICLR
-
-
Kingma, D.P.1
Welling, M.2
-
16
-
-
85083950271
-
Unsupervised representation learning with deep convolutional generative adversarial networks
-
A. Radford, L. Metz, and S. Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks. In ICLR, 2016.
-
(2016)
ICLR
-
-
Radford, A.1
Metz, L.2
Chintala, S.3
-
17
-
-
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 NIPS, 2014.
-
(2014)
NIPS
-
-
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
-
18
-
-
84919754597
-
What regularized auto-encoders learn from the data-generating distribution
-
G. Alain and Y. Bengio. What regularized auto-encoders learn from the data-generating distribution. The Journal of Machine Learning Research, 15(1): 3563-3593, 2014.
-
(2014)
The Journal of Machine Learning Research
, vol.15
, Issue.1
, pp. 3563-3593
-
-
Alain, G.1
Bengio, Y.2
-
19
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
O. Russakovsky et al. Imagenet large scale visual recognition challenge. IJCV, 115(3): 211-252, 2015.
-
(2015)
IJCV
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
-
20
-
-
84913555165
-
-
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
-
21
-
-
84937522268
-
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. In Computer Vision and Pattern Recognition (CVPR), 2015.
-
(2015)
Computer Vision and Pattern Recognition (CVPR)
-
-
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
-
23
-
-
72249100259
-
Imagenet: A large-scale hierarchical image database
-
J. Deng et al. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
-
25
-
-
84986250533
-
Inverting visual representations with convolutional networks
-
A. Dosovitskiy and T. Brox. Inverting visual representations with convolutional networks. In CVPR, 2016.
-
(2016)
CVPR
-
-
Dosovitskiy, A.1
Brox, T.2
-
26
-
-
84937964578
-
Learning deep features for scene recognition using places database
-
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva. Learning deep features for scene recognition using places database. In Advances in neural information processing systems, 2014.
-
(2014)
Advances in Neural Information Processing Systems
-
-
Zhou, B.1
Lapedriza, A.2
Xiao, J.3
Torralba, A.4
Oliva, A.5
-
28
-
-
85083952996
-
Object detectors emerge in deep scene cnns
-
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba. Object detectors emerge in deep scene cnns. In International Conference on Learning Representations (ICLR), 2015.
-
(2015)
International Conference on Learning Representations (ICLR)
-
-
Zhou, B.1
Khosla, A.2
Lapedriza, A.3
Oliva, A.4
Torralba, A.5
|