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PDD: Pruning Neural Networks During Knowledge Distillation 期刊论文
COGNITIVE COMPUTATION, 2024, 页码: 11
作者:  Dan, Xi;  Yang, Wenjie;  Zhang, Fuyan;  Zhou, Yihang;  Yu, Zhuojun;  Qiu, Zhen;  Zhao, Boyuan;  Dong, Zeyu;  Huang, Libo;  Yang, Chuanguang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Knowledge distillation  Model pruning  Model compression  
An adaptive joint optimization framework for pruning and quantization 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17
作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong;  Chen, Yiqiang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation  
Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 13
作者:  Chen, Yanming;  Wu, Gang;  Shuai, Mingrui;  Lou, Shubin;  Zhang, Yiwen;  An, Zhulin
收藏  |  浏览/下载：17/0  |  提交时间：2024/05/20
Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs  
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;  Huang, Xi
收藏  |  浏览/下载：41/0  |  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  
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
收藏  |  浏览/下载：47/0  |  提交时间：2021/12/01
Network pruning  inference acceleration  model compression  multiple GPUs