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Binary Neural Network (BNN) shows its predominance in reducing the complexity of deep neural networks.
Interpretation of mueller matrices based on polar decomposition
Shih-Yau Lu and Russell A Chipman · 1996
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Matrix analysis for scientists and engineers , volume 91
Alan J Laub · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Learning multiple layers of features from tiny images
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Exploiting linear structure within convolutional networks for efficient evaluation
Emily L Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, and Rob Fergus · 2014
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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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Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han · 2015
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Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Loss-aware binarization of deep networks
Lu Hou, Quanming Yao, and James T Kwok · 2016
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Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio · 2016
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Squeezenet: Alexnet-level accuracy with 50x fewer parameters and< 0.5 mb model size
Forrest N Iandola, Song Han, Matthew W Moskewicz, Khalid Ashraf, William J Dally, and Kurt Keutzer · 2016
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Fixed point quantization of deep convolutional networks
Darryl Lin, Sachin Talathi, and Sreekanth Annapureddy · 2016
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Shift: A zero flop, zero parameter alternative to spatial convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, and Kurt Keutzer · 2018
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Lq-nets: Learned quantization for highly accurate and compact deep neural networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, and Gang Hua · 2018
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Mirror descent view for neural network quantization
Thalaiyasingam Ajanthan, Kartik Gupta, Philip HS Torr, Richard Hartley, and Puneet K Dokania · 2019
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Xnor-net++: Improved binary neural networks
Adrian Bulat and Georgios Tzimiropoulos · 2019
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Differentiable soft quantization: Bridging full-precision and low-bit neural networks
Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, and Junjie Yan · 2019
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Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou · 2016
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Deep learning with low precision by half-wave gaussian quantization
Zhaowei Cai, Xiaodong He, Jian Sun, and Nuno Vasconcelos · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Towards accurate binary convolutional neural network
Xiaofan Lin, Cong Zhao, and Wei Pan · 2017
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Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer, and Daniel Soudry · 2018
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Bnn+: Improved binary network training
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, and Vahid Partovi Nia · 2018
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Exploring unexplored tensor network decompositions for convolutional neural networks
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Latent weights do not exist: Rethinking binarized neural network optimization
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A review of binarized neural networks
Taylor Simons and Dah-Jye Lee · 2019
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Learning channel-wise interactions for binary convolutional neural networks
Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, and Qi Tian · 2019
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Binary ensemble neural network: More bits per network or more networks per bit?
Shilin Zhu, Xin Dong, and Hao Su · 2019
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Meliusnet: Can binary neural networks achieve mobilenet-level accuracy?
Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, and Christoph Meinel · 2020
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Addernet: Do we really need multiplications in deep learning?
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