Entropy-based pruning method for convolutional neural networks

Author:

Hur Cheonghwan,Kang SanggilORCID

Funder

Inha University

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference37 articles.

1. Mao H et al (2017) Exploring the granularity of sparsity in convolutional neural networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017

2. Guo Y, Yao A, Chen Y (2016) Dynamic network surgery for efficient DNNS. In: Advances In Neural Information Processing Systems, 2016, pp 1379–1387

3. Vanhoucke V, Senior A, Mao MZ (2011) Improving the speed of neural networks on CPUs. In: Proceedings of Deep Learning and Unsupervised Feature Learning NIPS Workshop, 2011, p 4

4. Denton EL et al (2014) Exploiting linear structure within convolutional networks for efficient evaluation. In: Advances in Neural Information Processing Systems, 2014, pp 1269–1277

5. Courbariaux M, Bengio Y, David J-P (2015) Binaryconnect: training deep neural networks with binary weights during propagations. In: Advances in Neural Information Processing Systems, 2015, pp 3123–3131

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. One-shot Hierarchical Global Pruning via Channel Relation-aware Attention;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Task-Based Visual Attention for Continually Improving the Performance of Autonomous Game Agents;Electronics;2023-10-25

3. Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media;International Journal of Heat and Mass Transfer;2022-02

5. Remface: Study on Mini-sized Mobilenetv2 and Retinaface;Lecture Notes in Computer Science;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3