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]
2018 [1]
学科主题
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An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510
作者:
Liu, Lian
;
Wang, Ying
;
Zhao, Xiandong
;
Chen, Weiwei
;
Li, Huawei
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/06
Optimization
Quantization (signal)
Computer architecture
Training
Computational modeling
Integrated circuit modeling
Convergence
Automatic joint optimization
efficient model inference
network quantization
neural architecture search (NAS)
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey
期刊论文
OAI收割
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:
Liu, Xin
;
Yan, Mingyu
;
Deng, Lei
;
Li, Guoqi
;
Ye, Xiaochun
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/06/21
Efficient training
graph convolutional networks (GCNs)
graph neural networks (GNNs)
sampling method
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:
Xin Liu
;
Mingyu Yan
;
Lei Deng
;
Guoqi Li
;
Xiaochun Ye
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/11/03
Efficient training
graph convolutional networks (GCNs)
graph neural networks (GNNs)
sampling method
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference
期刊论文
OAI收割
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 卷号: 8, 期号: 4, 页码: 810-821
作者:
Lu, Wenyan
;
He, Xin
;
Yan, Guihai
;
Zhang, Xuan
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/04/03
Approximate computing
neural network accelerator
hardware-oriented training
sensitivity analysis
energy efficient architecture
near threshold voltage
approximate multiplier