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Recently, convolutional neural networks (CNN) have demonstrated impressive performance in various computer vision tasks.
Backpropagation applied to handwritten zip code recognition
Y. LeCun, B. E. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. E. Hubbard, and L. D. Jackel · 1989
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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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Minimizing development and maintenance costs in supporting persistently optimized BLAS
R. C. Whaley and A. Petitet · 2005
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High-performance neural networks for visual object classification
D. C. Ciresan, U. Meier, J. Masci, L. M. Gambardella, and J. Schmidhuber · 2011
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Product quantization for nearest neighbor search
H. Jegou, M. Douze, and C. Schmid · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Learning ordinal discriminative features for age estimation
C. Li, Q. Liu, J. Liu, and H. Lu · 2012
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Predicting parameters in deep learning
M. Denil, B. Shakibi, L. Dinh, M. A. Ranzato, and N. de Freitas · 2013
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Return of the devil in the details: Delving deep into convolutional nets
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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Exploiting linear structure within convolutional networks for efficient evaluation
E. L. Denton, W. Zaremba, J. Bruna, Y. LeCun, and R. Fergus · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. B. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Compressing deep convolutional networks using vector quantization
Y. Gong, L. Liu, M. Yang, and L. D. Bourdev · 2014
Cited alongside, same era.
Speeding up convolutional neural networks with low rank expansions
M. Jaderberg, A. Vedaldi, and A. Zisserman · 2014
Cited alongside, same era.
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
Cited alongside, same era.
Z. Yang, M. Moczulski, M. Denil, N. de Freitas, A. J. Smola, L. Song, and Z. Wang · 2014
Cited alongside, same era.
Compressing neural networks with the hashing trick
W. Chen, J. T. Wilson, S. Tyree, K. Q. Weinberger, and Y. Chen · 2015
Cited alongside, same era.
Online sketching hashing
C. Leng, J. Wu, J. Cheng, X. Bai, and H. Lu · 2015
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Hashing for distributed data
C. Leng, J. Wu, J. Cheng, X. Zhang, and H. Lu · 2015
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Age and gender classification using convolutional neural networks
G. Levi and T. Hassncer · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Data-free parameter pruning for deep neural networks
S. Srinivas and R. V. Babu · 2015
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Training deep neural networks with low precision multiplications
M. Courbariaux, Y. Bengio, and J. David · 2015
Cited alongside, same era.
Distilling the knowledge in a neural network
J. D. Geoffrey Hinton, Oriol Vinyals · 2015
Cited alongside, same era.
R. B. Girshick · 2015
Cited alongside, same era.
S. Han, H. Mao, and W. J. Dally · 2015
Cited alongside, same era.
Speeding-up convolutional neural networks using fine-tuned cp-decomposition
V. Lebedev, Y. Ganin, M. Rakhuba, I. V. Oseledets, and V. S. Lempitsky · 2015
Cited alongside, same era.
Fast convnets using group-wise brain damage
V. Lebedev and V. S. Lempitsky · 2015
Cited alongside, same era.
X. Zhang, J. Zou, K. He, and J. Sun · 2015
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Efficient and accurate approximations of nonlinear convolutional networks
X. Zhang, J. Zou, X. Ming, K. He, and J. Sun · 2015
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Intel architecture instruction set extensions programming reference
I. Corporation · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
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