2024
Leveraging Uncertainty Estimates To Improve Classifier Performance
ICLR 2024poster
Binary classification typically involves predicting the label of an instance based on whether the model score for the positive class exceeds a threshold chosen based on the application requirements (e.g., maximizing recall for a precision bound). However, model scores are often not aligned with true…