Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning

Dung Anh Hoang, Cuong Nguyen, Belagiannis Vasileios +2

Meta-learning is an effective method to handle imbalanced and noisy-label learning, but it depends on a validation set containing randomly selected, manually labelled and balanced…