中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Multi-Granularity Pruning for Model Acceleration on Mobile Devices 会议论文
, 线上, 2022-07
作者:  Zhao TL(赵天理);  Zhang X(张希);  Zhu WT(朱文涛);  Wang JX(王家兴);  Yang S(杨森);  Liu J(刘季);  Cheng J(程健)
Adobe PDF(1919Kb)  |  收藏  |  浏览/下载：143/59  |  提交时间：2023/06/21
Deep Neural Networks  Network Pruning  Structured Pruning  Non-structured Pruning  Single Instruction Multiple Data  
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers 会议论文
, New Orleans, Louisiana, USA, 2022-6
作者:  Jiahao, Lu;  Xi Sheryl, Zhang;  Tianli, Zhao;  Xiangyu, He;  Jian Cheng
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：244/65  |  提交时间：2022/06/23
Trustworthy AI  Privacy-preserving machine learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：335/41  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Soft Threshold Ternary Networks 会议论文
, Online, 2020
作者:  Xu, Weixiang;  He, Xiangyu;  Zhao, Tianli;  Hu, Qinghao;  Wang, Peisong;  Cheng, Jian
Adobe PDF(387Kb)  |  收藏  |  浏览/下载：221/76  |  提交时间：2020/10/20
Sparsity-Inducing Binarized Neural Networks 会议论文
, New York, 2020
作者:  Wang, Peisong;  He, Xiangyu;  Li, Gang;  Zhao, Tianli;  Cheng, Jian
Adobe PDF(578Kb)  |  收藏  |  浏览/下载：194/49  |  提交时间：2020/10/20
BitStream: An efficient framework for inference of binary neural networks on CPUs 期刊论文
PATTERN RECOGNITION LETTERS, 2019, 卷号: 125, 页码: 303-309
作者:  Jiang, Yanshu;  Zhao, Tianli;  He, Xiangyu;  Leng, Cong;  Cheng, Jian
Adobe PDF(1252Kb)  |  收藏  |  浏览/下载：321/46  |  提交时间：2019/12/16
Convolutional neural networks  Binary neural networks  Image classification