Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Zhao Yunrui¹,Xu Qianqian²,Jiang Yangbangyan³,Wen Peisong¹,Huang Qingming¹

Affiliation:

1. School of Computer Science and Technology, University of Chinese Academy of Sciences

2. Institute of Computing Technology, CAS,Key Laboratory of Intelligent Information Processing

3. Institute of Information Engineering, CAS,State Key Laboratory of Information Security

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Youth Innovation Promotion Association CAS

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878485.pdf?arnumber=9878485

Reference46 articles.

1. Positive-Unlabeled Learning from Imbalanced Data

2. Exploring the limits of weakly supervised pretraining;mahajan;Proceedings of European Conference on Computer Vision,2018

3. PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

4. SGDR: stochastic gradi-ent descent with warm restarts;loshchilov;Proceedings of the 5th In-ternational Conference on Learning Representations,2017

Cited by 16 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. Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features;Expert Systems with Applications;2024-12

2. Bootstrap Latent Prototypes for graph positive-unlabeled learning;Information Fusion;2024-12

3. Joint empirical risk minimization for instance-dependent positive-unlabeled data;Knowledge-Based Systems;2024-11

4. A multi-objective evolutionary algorithm for robust positive-unlabeled learning;Information Sciences;2024-09

5. Semi-Supervised Disease Classification Based on Limited Medical Image Data;IEEE Journal of Biomedical and Health Informatics;2024-03

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