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Deep neural networks (DNNs) have demonstrated state-of-the-art results on many pattern recognition tasks, especially vision classification problems.
Invariant visual representation by single neurons in the human brain
R. Q. Quiroga, L. Reddy, G. Kreiman, C. Koch, and I. Fried · 2005
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Visualizing higher-layer features of a deep network
D. Erhan, Y. Bengio, A. Courville, and P. Vincent · 2009
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Imagenet: A large-scale hierarchical image database
J. Deng et al · 2009
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Deep inside convolutional networks: Visualising image classification models and saliency maps
K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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What regularized auto-encoders learn from the data-generating distribution
G. Alain and Y. Bengio · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
A. Nguyen, J. Yosinski, and J. Clune · 2015
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Understanding neural networks through deep visualization
J. Yosinski, J. Clune, A. Nguyen, T. Fuchs, and H. Lipson · 2015
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Understanding intra-class knowledge inside cnn
D. Wei, B. Zhou, A. Torrabla, and W. Freeman · 2015
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Inceptionism: Going deeper into neural networks
A. Mordvintsev, C. Olah, and M. Tyka · 2015
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Deep learning
Y. Bengio, I. J. Goodfellow, and A. Courville · 2015
Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, et al · 2015
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Object detectors emerge in deep scene cnns
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2015
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Visualizing deep convolutional neural networks using natural pre-images
A. Mahendran and A. Vedaldi · 2016
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Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks
A. Nguyen, J. Yosinski, and J. Clune · 2016
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Learning to generate chairs with convolutional neural networks
A. Dosovitskiy, J. Tobias Springenberg, and T. Brox · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky et al · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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L. Theis, A. van den Oord, and M. Bethge · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Inverting visual representations with convolutional networks
A. Dosovitskiy and T.Brox · 2016
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