Label Augmentation with Reinforced Labeling for Weak Supervision. (arXiv:2204.06436v1 [cs.LG])

Weak supervision (WS) is an alternative to the traditional supervised
learning to address the need for ground truth. Data programming is a practical
WS approach that allows programmatic labeling data samples using labeling
functions (LFs) instead of hand-labeling each data point. However, the existing
approach fails to fully exploit the domain knowledge encoded into LFs,
especially when the LFs' coverage is low. This is due to the common data
programming pipeline that neglects to utilize data features during the
generative …

arxiv augmentation labeling