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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：2020    专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     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 CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133 作者:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong 收藏  |  浏览/下载：122/0  |  提交时间：2021/03/08 entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression   EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search 会议论文 Glasgow, United Kingdom, 19-24 July 2020 作者:  Yong Yuan;  Chen Chen;  Xiyuan Hu;  Silong Peng 收藏  |  浏览/下载：66/0  |  提交时间：2020/10/27 evolutionary algorithm, mixed precision quantization, network compression, deep learning   Bayesian Automatic Model Compression 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736 作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian 收藏  |  浏览/下载：59/0  |  提交时间：2020/12/04 Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability   Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无 作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang 收藏  |  浏览/下载：58/0  |  提交时间：2021/01/27 Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.   Revisiting Parameter Sharing for Automatic Neural Channel Number Search 会议论文 Online, 2020.12.06-2020.12.12 作者:  Wang JX(王家兴);  Bo HL(柏昊立);  Wu JX(吴家祥);  Shi XP(史旭鹏);  Huang JZ(黄俊洲) 收藏  |  浏览/下载：54/0  |  提交时间：2021/06/16 Neural Architecture Search  Model Compression  Parameter Sharing   Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization 会议论文 Online, 2020 作者:  Chen, Weihan;  Wang, Peisong;  Cheng, Jian 收藏  |  浏览/下载：8/0  |  提交时间：2020/10/20 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   Finding Patterns in Adversarial Training 期刊论文 Chinese Automation Congress, 2020, 期号: 无, 页码: gress. 2020: 4130 4134. 作者:  Yutong Wang;  Fei-Yue Wang 收藏  |  浏览/下载：6/0  |  提交时间：2021/06/15 Adversarial training  Feature map denoising  Channel pruning   CNQ:Compressor-Based Non-uniform Quantization of Deep Neural Networks 期刊论文 Chinese Journal of Electronics, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133 作者:  Yuan Yong;  Chen Chen;  Hu Xiyuan;  Peng Silong 收藏  |  浏览/下载：13/0  |  提交时间：2021/03/15 Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression