Self-Supervised Representation Learning: Introduction, advances, and challenges-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Self-Supervised Representation Learning: Introduction, advances, and challenges

Published:2022-05 Issue:3 Volume:39 Page:42-62
ISSN:1053-5888
Container-title:IEEE Signal Processing Magazine
language:
Short-container-title:IEEE Signal Process. Mag.

Author:

Ericsson Linus¹,Gouk Henry²,Loy Chen Change³,Hospedales Timothy M.⁴

Affiliation:

1. MScR degree, University of Edinburgh, Edinburgh, U.K.

2. School of Informatics, University of Edinburgh, Edinburgh, U.K.

3. Associate Professor, Nanyang Technological University, Singapore

4. Artificial Intelligence, University of Edinburgh, Edinburgh, U.K.

Funder

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/79/9770265/09770283.pdf?arnumber=9770283

Reference100 articles.

1. Barlow twins: Self-supervised learning via redundancy reduction;zbontar,2021

2. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models;gutmann;Mach Learn Res,0

3. Unsupervised representation learning by predicting image rotations;gidaris,2018

4. Language models are few-shot learners;brown,2020

5. TinyBERT: Distilling BERT for Natural Language Understanding

Cited by 166 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. Self-supervised machine learning approach for autism detection in young children using MEG signals;Biomedical Signal Processing and Control;2024-12

2. A general framework for generative self-supervised learning in non-invasive estimation of physiological parameters using photoplethysmography;Biomedical Signal Processing and Control;2024-12

3. Multiple representation contrastive self-supervised learning for pulmonary nodule detection✰;Knowledge-Based Systems;2024-10

4. Self-supervised domain adaptation for machinery remaining useful life prediction;Reliability Engineering & System Safety;2024-10

5. Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

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