Optimizing Partial Area Under the Top-K Curve: Theory and Practice

Author:

Wang Zitai1ORCID,Xu Qianqian2ORCID,Yang Zhiyong3ORCID,He Yuan4ORCID,Cao Xiaochun5ORCID,Huang Qingming3ORCID

Affiliation:

1. State Key Laboratory of Information Security (SKLOIS), Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China

4. Security Department of Alibaba Group, Hangzhou, China

5. School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference85 articles.

1. Learning to Rank for Information Retrieval

2. Stochastic online AUC maximization;ying;Proc Int Conf Neural Inf Process,2016

3. AUC: A statistically consistent and more discriminating measure than accuracy;ling;Proc Int Joint Conf Artif Intell,2003

4. One-pass AUC optimization;gao;Proc Int Conf Mach Learn,2013

5. The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List

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. Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification;International Journal of Computer Vision;2024-07-26

2. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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