CSpace

浏览/检索结果: 共3条,第1-3条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan
收藏  |  浏览/下载:26/0  |  提交时间:2022/06/21
Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization  
Incorporating explicit syntactic dependency for aspect level sentiment classification 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 394-406
作者:  Ke, Wenjun;  Gao, Jinhua;  Shen, Huawei;  Cheng, Xueqi
收藏  |  浏览/下载:30/0  |  提交时间:2021/12/01
Sentiment classification  Syntactic dependency  Attention network  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis