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Deep neural networks have recently achieved significant progress.
A simple weight decay can improve generalization
A. Krogh and J. A. Hertz · 1992
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Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Multimedia watermarking techniques
F. Hartung and M. Kutter · 1999
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A highly robust audio fingerprinting system
J. Haitsma and T. Kalker · 2002
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Using digital watermarks with image signatures to mitigate the threat of the copy attack
J. Barr, B. Bradley, and B. T. Hannigan · 2003
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Neural network based steganalysis in still images
L. Shaohui, Y. Hongxun, and G. Wen · 2003
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Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories
L. Fei-Fei, R. Fergus, and P. Perona · 2004
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Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
A. Joly, C. Frelicot, and O. Buisson · 2005
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Digital Watermarking and Steganography
I. Cox, M. Miller, J. Bloom, J. Fridrich, and T. Kalker · 2008
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Learning multiple layers of features from tiny images
A. Krizhevsky · 2009
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Theano: a CPU and GPU math expression compiler
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio · 2010
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Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
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Accurate content-based video copy detection with efficient feature indexing
Y. Uchida, M. Agrawal, and S. Sakazawa · 2011
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Mask: Robust local features for audio fingerprinting
X. Anguera, A. Garzon, and T. Adamek · 2012
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Ensemble classifiers for steganalysis of digital media
J. Kodovsky, J. Fridrich, and V. Holub · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 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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Chainer: a next-generation open source framework for deep learning
S. Tokui, K. Oono, S. Hido, and J. Clayton · 2015
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Net2net: Accelerating learning via knowledge transfer
T. Chen, I. Goodfellow, and J. Shlens · 2016
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Eie: Efficient inference engine on compressed deep neural network
S. Han, X. Liu, H. Mao, J. Pu, A. Pedram, M. A. Horowitz, and W. J. Dally · 2016
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Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
S. Han, H. Mao, and W. J. Dally · 2016
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Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, and J. Dean · 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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The loss surfaces of multilayer networks
A. Choromanska, M. Henaff, M. Mathieu, G. Arous, and Y. LeCun · 2015
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Learning both weights and connections for efficient neural networks
S. Han, J. Pool, J. Tran, and W. J. Dally · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
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Network morphism
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Wide residual networks
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