Kuangshi Ai

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning

Active Learning (AL) allows models to learn interactively from user feedback. However, only annotating existing samples may hardly benefit the model’s generalization. Moreover, AL commonly faces a cold start problem due to insufficient annotated data for effective sample selection. To address this,…