Contrastive Coding for Active Learning under Class Distribution Mismatch.
Pan DuSuyun ZhaoHui ChenShuwen ChaiHong ChenCuiping LiPublished in: ICCV (2021)
Keyphrases
- class distribution
- active learning
- cost sensitive
- training set
- unlabeled data
- class imbalance
- training examples
- imbalanced class distribution
- rare classes
- misclassification costs
- training data
- rare class
- imbalanced datasets
- cost sensitive learning
- training samples
- labeled data
- semi supervised
- test set
- learning algorithm
- random sampling
- imbalanced data
- supervised learning
- highly imbalanced
- training set size
- semi supervised learning
- highly skewed
- base classifiers
- class labels
- minority class
- generalization error
- majority class
- machine learning
- classification error
- concept drift
- data sets
- learning process
- decision trees
- data mining