Yang Ba

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data

As machine learning models continue to swiftly advance, calibrating their performance has become a major concern prior to practical and widespread implementation. Most existing calibration methods often negatively impact model accuracy due to the lack of diversity of validation data, resulting in re…