Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets.
Guanlin LiKangjie ChenYuan XuHan QiuTianwei ZhangPublished in: CoRR (2023)
Keyphrases
- imbalanced datasets
- training dataset
- label noise
- learning from imbalanced data
- cost sensitive learning
- class imbalance
- class distribution
- sampling methods
- active learning
- training set
- decision trees
- training examples
- test set
- machine learning
- feature selection algorithms
- imbalanced data
- missing values
- ensemble methods
- supervised learning
- feature selection