Energy-Efficient Machine Learning Accelerator for Binary Neural Networks
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Peng Xu | Fengwei An | Wei Mao | Dingbang Liu | Hao Yu | Shirui Zhao | Zhihua Xiao | Hongwei Ren
[1] Yoshua Bengio,et al. BinaryConnect: Training Deep Neural Networks with binary weights during propagations , 2015, NIPS.
[2] Hao Yu,et al. A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing , 2016, ArXiv.
[3] Axel Jantsch,et al. Fully digital write-in scheme for multi-bit memristive storage , 2016, 2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Chongshen Song,et al. A Scalable Network-on-Chip Microprocessor With 2.5D Integrated Memory and Accelerator , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.
[6] Fengwei An,et al. A 307-fps 351.7-GOPs/W Deep Learning FPGA Accelerator for Real-Time Scene Text Recognition , 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).
[7] Jian Cheng,et al. Quantized Convolutional Neural Networks for Mobile Devices , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Rajiv V. Joshi,et al. An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism , 2017, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.
[9] Yongliang Wang,et al. A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing , 2019, IEEE Transactions on Industrial Electronics.
[10] V JoshiRajiv,et al. Distributed In-Memory Computing on Binary RRAM Crossbar , 2017 .
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Xianglong Liu,et al. Forward and Backward Information Retention for Accurate Binary Neural Networks , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Axel Jantsch,et al. Memristors' Potential for Multi-bit Storage and Pattern Learning , 2015, 2015 IEEE European Modelling Symposium (EMS).