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Convolutional neural networks (CNNs) with deep architectures have substantially advanced the state-of-the-art in computer vision tasks.
Shortest connection networks and some generalizations
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Optimal brain damage
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Improving the speed of neural networks on CPUs
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Imagenet classification with deep convolutional neural networks
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Predicting parameters in deep learning
M. Denil, B. Shakibi, L. Dinh, M. Ranzato, and N. d. Freitas · 2013
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Fast training of convolutional networks through FFTs
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Exploiting linear structure within convolutional networks for efficient evaluation
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Compressing deep convolutional networks using vector quantization
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Speeding up convolutional neural networks with low rank expansions
M. Jaderberg, A. Vedaldi, and A. Zisserman · 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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Speeding-up convolutional neural networks using fine-tuned CP-decomposition
V. Lebedev, Y. Ganin, M. Rakhuba, I. Oseledets, and V. Lempitsky · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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BinaryConnect: Training deep neural networks with binary weights during propagations
M. Courbariaux, Y. Bengio, and J.-P. David · 2015
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M. Courbariaux, I. Hubara, D. Soudry, R. El-Yaniv, and Y. Bengio · 2016
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Dynamic network surgery for efficient DNNs
Y. Guo, A. Yao, and Y. Chen · 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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Training CNNs with low-rank filters for efficient image classification
Y. Ioannou, D. Robertson, J. Shotton, R. Cipolla, and A. Criminisi · 2016
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Local binary convolutional neural networks
F. Juefei-Xu, V. N. Boddeti, and M. Savvides · 2016
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S. Han, J. Pool, J. Tran, and W. J. Dally · 2015
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Sparse convolutional neural networks
B. Liu, M. Wang, H. Foroosh, M. Tappen, and M. Pensky · 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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Data-free parameter pruning for deep neural networks
S. Srinivas and R. V. Babu · 2015
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Fast convolutional nets with fbfft: A GPU performance evaluation
N. Vasilache, J. Johnson, M. Mathieu, S. Chintala, S. Piantino, and Y. LeCun · 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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D. D. Lin, S. S. Talathi, and V. S. Annapureddy · 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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Convolutional neural networks with low-rank regularization
C. Tai, T. Xiao, Y. Zhang, X. Wang, and W. E · 2016
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Residual networks are exponential ensembles of relatively shallow networks
A. Veit, M. Wilber, and S. Belongie · 2016
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Quantized convolutional neural networks for mobile devices
J. Wu, C. Leng, Y. Wang, Q. Hu, and J. Cheng · 2016
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