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Convolutional neural networks have achieved astonishing results in different application areas.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Understanding the difficulty of training deep feedforward neural networks
X. Glorot and Y. Bengio · 2010
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MNIST handwritten digit database
Y. LeCun and C. Cortes · 2010
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Neural Networks for Machine Learning, Coursera
G. Hinton · 2012
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Cifar-10 (canadian institute for advanced research), 2014
A. Krizhevsky, V. Nair, and G. Hinton · 2014
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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 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Binarized neural networks
I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio · 2016
Cited alongside, same era.
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer · 2016
Cited alongside, same era.
Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
Cited alongside, same era.
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
S. Zhou, Y. Wu, Z. Ni, X. Zhou, H. Wen, and Y. Zou · 2016
Cited alongside, same era.
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
Towards accurate binary convolutional neural network
X. Lin, C. Zhao, and W. Pan · 2017
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Bmxnet: An open-source binary neural network implementation based on mxnet
H. Yang, M. Fritzsche, C. Bartz, and C. Meinel · 2017
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
X. Zhang, X. Zhou, M. Lin, and J. Sun · 2017
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Adaptive Quantization for Deep Neural Network
Y. Zhou, S.-M. Moosavi-Dezfooli, N.-M. Cheung, and P. Frossard · 2017
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Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Z. Liu, B. Wu, W. Luo, X. Yang, W. Liu, and K.-T. Cheng · 2018
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Tbn: Convolutional neural network with ternary inputs and binary weights
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Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2017
Cited alongside, same era.
D. Wan, F. Shen, L. Liu, F. Zhu, J. Qin, L. Shao, and H. Tao Shen · 2018
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Adaptive quantization for deep neural network
Y. Zhou, S. M. Moosavi Dezfooli, N.-M. Cheung, and P. Frossard · 2018
Closest in time.