中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
计算技术研究所 [3]
自动化研究所 [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2024 [1]
2022 [2]
2021 [1]
学科主题
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Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:
Chen, Yanming
;
Wu, Gang
;
Shuai, Mingrui
;
Lou, Shubin
;
Zhang, Yiwen
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/05/20
Neural network
Model compression
Filter pruning
Attention
Rank enhancement
CNNs
QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge
期刊论文
OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 23, 页码: 24506-24515
作者:
Wang, Zidu
;
Liu, Xuexin
;
Huang, Long
;
Chen, Yunqing
;
Zhang, Yufei
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/02/22
Tensors
Internet of Things
Convolution
Three-dimensional displays
Quantization (signal)
Hardware
Training
Edge computing
filter pruning
Internet of Things (IoT)
model compression
neural networks
Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 505, 页码: 375-387
作者:
Ma, Xiu
;
Li, Guangli
;
Liu, Lei
;
Liu, Huaxiao
;
Wang, Xueying
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/07/12
Deep learning systems
Neural network compression
Filter pruning
EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing
期刊论文
OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271
作者:
Yu, Fang
;
Cui, Li
;
Wang, Pengcheng
;
Han, Chuanqi
;
Huang, Ruoran
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/12/01
Acceleration
Internet of Things
Computational modeling
Edge computing
Sensitivity analysis
Optimization
Convex functions
Deep neural networks (DNNs)
edge computing
filter pruning
model compression and acceleration