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Pruning-aware Sparse Regularization for Network Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 109-120
作者:  Nan-Fei Jiang
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Deep learning  convolutional neural network (CNN)  model compression and acceleration  network pruning  regularization  
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:  Xu, Ting-Bing;  Liu, Cheng-Lin
收藏  |  浏览/下载：177/0  |  提交时间：2022/02/16
Training  Nonlinear distortion  Data models  Neural networks  Knowledge engineering  Network architecture  Generalization error  network compression  representation invariance  self-distillation (SD)  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：7/1  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
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：264/0  |  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  
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
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：265/62  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
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：183/0  |  提交时间：2021/03/15
Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression  
无权访问的条目 期刊论文
作者:  Xu, Ting-Bing;  Yang, Peipei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1571Kb)  |  收藏  |  浏览/下载：33/11  |  提交时间：2019/07/12
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4730-4743
作者:  Cheng, Jian;  Wu, Jiaxiang;  Leng, Cong;  Wang, Yuhang;  Hu, Qinghao
收藏  |  浏览/下载：279/0  |  提交时间：2019/12/16
Acceleration And Compression  Convolutional Neural Network (Cnn)  Mobile Devices  Product Quantization