Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View.
Yangyang GuoLiqiang NieZhiyong ChengQi TianPublished in: CoRR (2020)
Keyphrases
- class imbalance
- cost sensitive learning
- multi class problems
- class distribution
- active learning
- cost sensitive
- misclassification costs
- high dimensionality
- small disjuncts
- imbalanced datasets
- concept drift
- sampling methods
- binary classification problems
- prior knowledge
- feature selection
- minority class
- imbalanced data
- majority class
- training set
- random sampling
- k nearest neighbor
- multi class
- reinforcement learning
- face recognition
- decision trees