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自动化研究所 [9]
计算技术研究所 [4]
西安交通大学 [1]
山东大学 [1]
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期刊论文 [13]
会议论文 [2]
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2023 [1]
2022 [1]
2021 [3]
2020 [3]
2019 [2]
2018 [4]
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浏览/检索结果:
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Pruning-aware Sparse Regularization for Network Pruning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 109-120
作者:
Nan-Fei Jiang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/01/18
Deep learning
convolutional neural network (CNN)
model compression and acceleration
network pruning
regularization
Improving Extreme Low-bit Quantization with Soft Threshold
期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 1549 - 1563
作者:
Xu WX(许伟翔)
;
Wang PS(王培松)
;
Cheng J(程健)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/06/20
Local-binarized very deep residual network for visual categorization
期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 页码: 82-93
作者:
Liu, Xuejing
;
Li, Liang
;
Wang, Shuhui
;
Zha, Zheng-Jun
;
Huang, Qingming
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  |  
浏览/下载:41/0
  |  
提交时间:2021/12/01
Network compression and acceleration
Pose estimation
Object recognition
Saliency detection
Local binary residual block
EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing
期刊论文
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
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  |  
浏览/下载:30/0
  |  
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
PokerNet: Expanding Features Cheaply via Depthwise Convolutions
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 432-442
作者:
Wei Tang
;
Yan Huang
;
Liang Wang
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  |  
浏览/下载:81/0
  |  
提交时间:2021/05/24
Deep learning
depthwise convolution
lightweight deep model
model compression
model acceleration
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626
作者:
Li, Guangli
;
Ma, Xiu
;
Wang, Xueying
;
Liu, Lei
;
Xue, Jingling
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  |  
浏览/下载:30/0
  |  
提交时间:2021/12/01
Deep learning system
edge intelligence
model compression and acceleration
neural networks
Unsupervised Network Quantization via Fixed-Point Factorization
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:
Wang, Peisong
;
He, Xiangyu
;
Chen, Qiang
;
Cheng, Anda
;
Liu, Qingshan
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  |  
浏览/下载:60/0
  |  
提交时间:2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
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  |  
浏览/下载:63/0
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 88, 期号: 88, 页码: 272-284
作者:
Xu, Ting-Bing
;
Yang, Peipei
;
Zhang, Xu-Yao
;
Liu, Cheng-Lin
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  |  
浏览/下载:63/0
  |  
提交时间:2019/07/12
Deep network acceleration and compression
Architecture distillation
Lightweight network
PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning
期刊论文
Multidimensional Systems and Signal Processing, 2019
作者:
Zheng Q.
;
Tian X.
;
Yang M.
;
Wu Y.
;
Su H.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
Deep learning
Generalization error boundary
Model acceleration
Model compression
Structure exploration
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