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Binary neural networks have attracted numerous attention in recent years.
“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
Earlier work this paper cites.
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber, · 2015
Earlier work this paper cites.
Sergey Zagoruyko and Nikos Komodakis, · 2016
Earlier work this paper cites.
“Xnor-net: Imagenet classification using binary convolutional neural networks,”
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi, · 2016
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Ssd: Single shot multibox detector,”
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg, · 2016
Earlier work this paper cites.
“Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients,”
Shuchang Zhou, Yuxin Wu, Zekun Ni, Xinyu Zhou, He Wen, and Yuheng Zou, · 2016
Earlier work this paper cites.
“Towards evolutional compression,”
Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, and Dacheng Tao, · 2017
Cited alongside, same era.
“Quantization and training of neural networks for efficient integer-arithmetic-only inference,”
Jacob Benoit, Kligys Skirmantas, Chen Bo, Zhu Menglong, Tang Matthew, Howard Andrew, Adam Hartwig, and Kalenichenko Dmitry, · 2018
Cited alongside, same era.
“Shufflenet: An extremely efficient convolutional neural network for mobile devices,”
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun, · 2018
Cited alongside, same era.
“Lq-nets: Learned quantization for highly accurate and compact deep neural networks,”
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, and Gang Hua, · 2018
Cited alongside, same era.
“Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm,”
Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, and Kwang-Ting Cheng, · 2018
“Projection convolutional neural networks for 1-bit cnns via discrete back propagation,”
Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, and David Doermann, · 2019
Closest in time.
“Circulant binary convolutional networks: Enhancing the performance of 1-bit dcnns with circulant back propagation,”
Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, and David Doermann, · 2019
Closest in time.
“Binary ensemble neural network: More bits per network or more networks per bit?,”
Shilin Zhu, Xin Dong, and Hao Su, · 2019
Closest in time.
“Searching for accurate binary neural architectures,”
Mingzhu Shen, Kai Han, Chunjing Xu, and Wang Yunhe, · 2019
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“Back to simplicity: How to train accurate bnns from scratch?,”
Joseph Bethge, Haojin Yang, Marvin Bornstein, and Christoph Meinel, · 2019
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Cited alongside, same era.
“Squeeze-and-excitation networks,”
Jie Hu, Li Shen, and Gang Sun, · 2018
Cited alongside, same era.
“Tbn: Convolutional neural network with ternary inputs and binary weights,”
Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, and Heng Tao Shen, · 2018
Cited alongside, same era.
Closest in time.
“dabnn: A super fast inference framework for binary neural networks on arm devices,”
Jianhao Zhang, Yingwei Pan, Ting Yao, He Zhao, and Tao Mei, · 2019
Closest in time.