Knowledge reinforced reinforcement learning for transferable selective annotation
The increasing data volume in fields like personalized manufacturing, biomanufacturing, and medical diagnostics has amplified the critical role of human annotation, which is time-consuming and labor-intensive, directly impacting AI performance. While active learning aims to reduce annotation efforts by selectively quer...