Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data
Author:
Affiliation:
1. South China University of Technology, Guangzhou, China
2. Tencent AI Lab, Shenzhen, China
3. Tencent AI Lab, Shenzhen , China
4. South China University of Technology, Guangzhouc , China
Funder
Recruitment Program for Young Professionals
Guangdong Provincial Scientific and Technological funds
National Natural Science Foundation of China (NSFC)
Pearl River S$\&$T Nova Program of Guangzhou
CCF-Tencent Open Research Fund
Fundamental Research Funds for the Central Universities
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3219819.3219948
Reference35 articles.
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2. J. Attenberg F. Provost. Why label when you can search? Alternatives to active learning for applying human resources to build classification models under extreme class imbalance. In smallSIGKDD International Conference on Knowledge Discovery and Data Mining 2010 pp. 423--432. 10.1145/1835804.1835859 J. Attenberg F. Provost. Why label when you can search? Alternatives to active learning for applying human resources to build classification models under extreme class imbalance. In smallSIGKDD International Conference on Knowledge Discovery and Data Mining 2010 pp. 423--432. 10.1145/1835804.1835859
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