Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data.
Hien DangTho Tran HuuStanley J. OsherHung Tran-TheNhat HoTan Minh NguyenPublished in: ICML (2023)
Keyphrases
- imbalanced data
- highly skewed
- imbalanced class distribution
- class distribution
- learning from imbalanced data
- classification models
- imbalanced datasets
- linear regression
- ensemble methods
- neural network
- sampling methods
- minority class
- high dimensionality
- class imbalance
- support vector machine
- svm classifier
- model selection
- data sets