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We present a method to train self-binarizing neural networks, that is, networks that evolve their weights and activations during training to become binary.
Optimal brain damage
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng, Felix X Yu, Rogerio S Feris, Sanjiv Kumar, Alok Choudhary, and Shi-Fu Chang · 2015
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Binaryconnect: Training deep neural networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David · 2015
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Ross Girshick · 2015
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Song Han, Huizi Mao, and William J Dally · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu · 2015
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Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Chenzhuo Zhu, Song Han, Huizi Mao, and William J Dally · 2016
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Hashnet: Deep learning to hash by continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Philip S Yu · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam · 2017
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Xiaofan Lin, Cong Zhao, and Wei Pan · 2017
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Deep learning for mobile multimedia: A survey
Kaoru Ota, Minh Son Dao, Vasileios Mezaris, and Francesco G. B. De Natale · 2017
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Lu Hou, Quanming Yao, and James T Kwok · 2016
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Quantized neural networks: Training neural networks with low precision weights and activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Fengfu Li and Bin Liu · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
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Faster r-cnn: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2017
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Shufflenet: An extremely efficient convolutional neural network for mobile devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun · 2017
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Incremental network quantization: Towards lossless cnns with low-precision weights
Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen · 2017
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Model compression and acceleration for deep neural networks: The principles, progress, and challenges
Yu Cheng, Duo Wang, Pan Zhou, and Tao Zhang · 2018
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Gxnor-net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, and Guoqi Li · 2018
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Deep learning towards mobile applications
Ji Wang ; Bokai Cao ; Philip Yu ; Lichao Sun ; Weidong Bao ; Xiaomin Zhu · 2018
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