一作ACL 2026Findings· Findings of ACL
RADS : Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
Wei Han · David Martinez Iraola · Anna Khanina · Lawrence Cavedon · Karin Verspoor
摘要
A common strategy in transfer learning is few shot fine-tuning, but its success is highly dependent on the quality of samples selected as training examples. Active learning methods such as uncertainty sampling and diversity sampling can select useful samples. However, under extremely low-resource...