ESCEPE: Early-Exit Network Section-Wise Model Compression Using Self-distillation and Weight Clustering

Author:

Khalilian Gourtani Saeed1ORCID,Meratnia Nirvana1ORCID

Affiliation:

1. Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands

Publisher

ACM

Reference29 articles.

1. Weight quantization in Boltzmann machines

2. Joseph Bingham , Noah Green , and Saman Zonouz . 2022. LegoNet: Memory Footprint Reduction Through Block Weight Clustering. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing , Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) . IEEE , 1--6. Joseph Bingham, Noah Green, and Saman Zonouz. 2022. LegoNet: Memory Footprint Reduction Through Block Weight Clustering. In 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 1--6.

3. Xinshi Chen , Hanjun Dai , Yu Li , Xin Gao , and Le Song . 2020 . Learning to stop while learning to predict . In International Conference on Machine Learning. PMLR, 1520--1530 . Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, and Le Song. 2020. Learning to stop while learning to predict. In International Conference on Machine Learning. PMLR, 1520--1530.

4. Minsik Cho , Keivan A Vahid , Saurabh Adya , and Mohammad Rastegari . 2021 . Dkm: Differentiable k-means clustering layer for neural network compression. arXiv preprint arXiv:2108.12659 (2021). Minsik Cho, Keivan A Vahid, Saurabh Adya, and Mohammad Rastegari. 2021. Dkm: Differentiable k-means clustering layer for neural network compression. arXiv preprint arXiv:2108.12659 (2021).

5. CNN weight sharing based on a fast accuracy estimation metric

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