中国科学院计算技术研究所机构知识库

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	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：6/0  |  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：22/0  |  提交时间：2024/05/20 Neural network  Model compression  Filter pruning  Attention  Rank enhancement  CNNs
	BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks 期刊论文 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 1, 页码: 90-103 作者:  Li, Hongyan;  Lu, Hang;  Wang, Haoxuan;  Deng, Shengji;  Li, Xiaowei 收藏  |  浏览/下载：24/0  |  提交时间：2023/07/12 Deep learning accelerator  deep neural network (DNN)  hardware runtime pruning
	Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs 期刊论文 NEUROCOMPUTING, 2022, 卷号: 505, 页码: 375-387 作者:  Ma, Xiu;  Li, Guangli;  Liu, Lei;  Liu, Huaxiao;  Wang, Xueying 收藏  |  浏览/下载：23/0  |  提交时间：2023/07/12 Deep learning systems  Neural network compression  Filter pruning
	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：47/0  |  提交时间：2022/06/21 Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization
	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：52/0  |  提交时间：2021/12/01 Network pruning  inference acceleration  model compression  multiple GPUs
	A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks 期刊论文 IEEE DESIGN & TEST, 2020, 卷号: 37, 期号: 1, 页码: 36-45 作者:  He, Xin;  Yan, Guihai;  Lu, Wenyan;  Zhang, Xuan;  Liu, Ke 收藏  |  浏览/下载：55/0  |  提交时间：2020/12/10 Resilience  Energy consumption  Approximate computing  Collaboration  Computational modeling  Artificial neural networks  Optimization  Neural network  Energy efficient computing  Network pruning  Approximate computing