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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:16/0
  |  
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)
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  |  
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
Underwater real-time target detection based on key frame and model compression
期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 1800, 期号: 1
作者:
Guo,Wei
;
Zhang,Youbo
;
Zhou,Yue
;
Xu,Gaofei
;
Li,Guangwei
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  |  
浏览/下载:16/0
  |  
提交时间:2021/03/23
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
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 51134-51145
作者:
Zhong, Qiaoling
;
Zhang, Zhibin
;
Qiu, Qiang
;
Cheng, Xueqi
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  |  
浏览/下载:17/0
  |  
提交时间:2021/12/01
Network pruning
inference acceleration
model compression
multiple GPUs
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
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
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