CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization-Reference-Cited by-同舟云学术

CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
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Author:

Zhang Xiaobo¹^ORCID,Liu Yutao²^ORCID,Wang Hao¹^ORCID,Wang Wei³^ORCID,Ni Panpan¹^ORCID,Zhang Ji⁴^ORCID

Affiliation:

1. Southwest Jiaotong University, Chengdu, China

2. Southwest Jiaotong University, Chendu, China

3. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

4. University of Southern Queensland, Toowoomba, Australia

Funder

Natural Science Foundation of China

Open Research Fund Program of Data Recovery Key Laboratory of Sichuan Province

Fundamental Research Funds for the Central Universities

Key R&D Program in Sichuan Province of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614826

Reference52 articles.

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