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深度脉冲神经网络转换学习算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  陈睿智
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脉冲神经网络  反向传播算法  脉冲神经网络学习算法  
卷积神经网络高效计算关键技术研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  郭鹏
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深度神经网络  卷积神经网络  二值网络  低比特量化  神经网络加速器  
循环神经网络计算加速研究 学位论文
, 中科院自动化所: 中科院自动化所, 2019
Authors:  李哲
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循环神经网络  二值化  低秩分解  加速  
基于量化学习的图像特征表示研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  胡庆浩
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量化学习  特征表示  哈希  深度网络量化  
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 88, 页码: 272-284
Authors:  Xu, Ting-Bing;  Yang, Peipei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
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Deep network acceleration and compression  Architecture distillation  Lightweight network  
A High-Efficiency FPGA-Based Accelerator for Binarized Neural Network 期刊论文
Journal of Circuits, Systems, and Computers, 2019, 卷号: 28, 期号: 1, 页码: 1
Authors:  Guo Peng;  Ma Hong;  Ruizhi Chen;  Donglin Wang
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Cnn  Bnn  Fpga  Accelerator  
Unlabeled Data Driven Channel-Wise Bit-Width Allocation and Quantization Refinement 会议论文
, Sydney, Australia, 2019.12.12-15
Authors:  Yong Yuan;  Chen Chen;  Xiyuan Hu;  Silong Peng
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TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks 会议论文
, Sydney, Australia, 2019
Authors:  Yong Yuan;  Chen Chen;  Xiyuan Hu;  Silong Peng
View  |  Adobe PDF(178Kb)  |  Favorite  |  View/Download:27/0  |  Submit date:2019/09/25
Training Binary Weight Networks via Semi-Binary Decomposition 会议论文
, 德国慕尼黑, 2018-9
Authors:  Hu, Qinghao;  Li, Gang;  Wang, Peisong;  Zhang, Yifan;  Cheng, Jian
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RotateConv: Making Asymmetric Convolutional Kernels Rotatable 会议论文
, Beijing, China, August 20-24 2018
Authors:  Ma JB(马佳彬);  Guo WY(郭韦煜);  Wang W(王威);  Wang L(王亮)
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