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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Wang, Peisong;  Li, Fanrong;  Li, Gang;  Cheng, Jian 收藏  |  浏览/下载：39/0  |  提交时间：2022/01/27 Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign   You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904 作者:  Zhang, Xinbang;  Huang, Zehao;  Wang, Naiyan;  Xiang, Shiming;  Pan, Chunhong 收藏  |  浏览/下载：47/0  |  提交时间：2021/11/02 Computer architecture  Optimization  Learning (artificial intelligence)  Task analysis  Acceleration  Evolutionary computation  Convolution  Neural architecture search(NAS)  convolution neural network  sparse optimization   Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain 期刊论文 FRONTIERS IN SYSTEMS NEUROSCIENCE, 2021, 卷号: 15, 页码: 8 作者:  Zhao, Feifei;  Zeng, Yi 收藏  |  浏览/下载：46/0  |  提交时间：2021/08/15 synaptic pruning  developmental neural network  optimizing network structure  accelerating learning  compressing network   DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch 会议论文 virtual conference, 2021.2.2-2021.2.9 作者:  Ruan, Xiaofeng;  Liu, Yufan;  Li, Bing;  Yuan, Chunfeng;  Hu, Weiming 收藏  |  浏览/下载：67/0  |  提交时间：2021/06/17 Hierarchical graph attention network for relation extraction 期刊论文 Journal of Physics: Conference Series, 2021, 卷号: 1780, 期号: 1 作者:  Sun,Hongru;  Ni,Wancheng;  Yang,Yiping 收藏  |  浏览/下载：18/0  |  提交时间：2021/03/22 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 收藏  |  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 收藏  |  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   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：17/0  |  提交时间：2021/12/01 Network pruning  inference acceleration  model compression  multiple GPUs   EBERT: Efficient BERT Inference with Dynamic Structured Pruning 会议论文 Online, 2021 作者:  Liu, Zejian;  Li, Fanrong;  Li, Gang;  Cheng, Jian 收藏  |  浏览/下载：2/0  |  提交时间：2022/06/14