Conformal-in-the-Loop for Learning with Imbalanced Noisy Data

John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi +2

Class imbalance and label noise are pervasive in large-scale datasets, yet much of machine learning research assumes well-labeled, balanced data, which rarely reflects real world c…