Meiqing Li

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

Real-world datasets across image and text domains are often characterized by skewed class distributions and noisy annotations, which jointly degrade model performance, particularly on minority classes. Among existing solutions, active learning offers an effective and efficient paradigm by selectivel…