中国科学院计算技术研究所机构知识库

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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
	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;  Feng, Xiaobing 收藏  |  浏览/下载：56/0  |  提交时间：2021/12/01 Deep learning system  edge intelligence  model compression and acceleration  neural networks