Label-Imbalanced and Group-Sensitive Classification under Overparameterization.
Ganesh Ramachandra KiniOrestis ParaskevasSamet OymakChristos ThrampoulidisPublished in: NeurIPS (2021)
Keyphrases
- class labels
- classification accuracy
- class imbalance
- text classification
- decision trees
- support vector
- automatic classification
- classification method
- classification scheme
- image classification
- pattern recognition
- feature vectors
- training set
- class membership
- high dimensionality
- pattern classification
- class distribution
- labeling process
- imbalanced data sets
- imbalanced data
- binary classification problems
- multi label classification
- classification systems
- feature extraction
- cost sensitive
- classification rules
- neural network
- decision rules
- benchmark datasets
- machine learning algorithms
- supervised learning