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Transfer channel pruning for compressing deep domain adaptation models 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3129-3144
作者:  Yu, Chaohui;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin
收藏  |  浏览/下载:73/0  |  提交时间:2020/12/10
Unsupervised domain adaptation  Transfer channel pruning  Accelerating  
Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network 期刊论文
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 2019, 卷号: 47, 期号: 3, 页码: 345-359
作者:  Han, Dong;  Zhou, Shengyuan;  Zhi, Tian;  Wang, Yibo;  Liu, Shaoli
收藏  |  浏览/下载:79/0  |  提交时间:2019/08/16
Float-Fix  Neural network  Hardware accelerator  Data type  
A reconfigurable 4-GS/s power-efficient floating-point FFT processor design and implementation based on single-sided binary-tree decomposition 期刊论文
INTEGRATION-THE VLSI JOURNAL, 2019, 卷号: 66, 页码: 164-172
作者:  Wei, Xing;  Yang, Haigang;  Li, Wei;  Huang, Zhihong;  Yin, Tao;  Yu, Le
收藏  |  浏览/下载:93/0  |  提交时间:2019/08/16
Floating-point  Fast fourier transform (FFT)  Mixed-radix  Multi-path delay feedback (MDF)  Binary-tree decomposition  Twiddle factor  Fused FP arithmetic unit  
Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 1, 页码: 38-48
作者:  Ma, Chao;  Guo, Yulan;  Lei, Yinjie;  An, Wei
收藏  |  浏览/下载:278/0  |  提交时间:2019/04/03
3-D object recognition  convolutional neural network (CNN)  deep learning (DL)  network binarization  volumetric representation