Complementary Label Queries for Efficient Active Learning

Author:

Liu Shengyuan1ORCID,Hu Tianlei1ORCID,Chen Ke1ORCID,Mao Yunqing2ORCID

Affiliation:

1. Key Lab of Intelligent Computing Based Big Data of Zhejiang Province, Zhejiang University, China

2. City Cloud Science and Technology (China)Co., Ltd., China

Publisher

ACM

Reference32 articles.

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2. D. Yoo and I. S. Kweon . Learning loss for active learning . In CVPR , pages 93– 102 , 2019 . D. Yoo and I. S. Kweon. Learning loss for active learning. In CVPR, pages 93–102, 2019.

3. S. Sinha , S. Ebrahimi , and T. Darrell . Variational adversarial active learning . In ICCV , pages 5972– 5981 , 2019 . S. Sinha, S. Ebrahimi, and T. Darrell. Variational adversarial active learning. In ICCV, pages 5972–5981, 2019.

4. T. Zhang and Z.-H. Zhou . Semi-supervised optimal margin distribution machines . In IJCAI , pages 3104– 3110 , 2018 . T. Zhang and Z.-H. Zhou. Semi-supervised optimal margin distribution machines. In IJCAI, pages 3104–3110, 2018.

5. H. Wang , W. Liu , Y. Zhao , C. Zhang , T. Hu , and G. Chen . Discriminative and correlative partial multi-label learning . In IJCAI , pages 3691– 3697 , 2019 . H. Wang, W. Liu, Y. Zhao, C. Zhang, T. Hu, and G. Chen. Discriminative and correlative partial multi-label learning. In IJCAI, pages 3691–3697, 2019.

Cited by 2 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. Label Engineering Methods for ML Systems;Lecture Notes in Networks and Systems;2024

2. 基于主动学习的不确定性感知补标签查询;Frontiers of Information Technology & Electronic Engineering;2023-10

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