Understanding Programmatic Weak Supervision via Source-aware Influence Function. (arXiv:2205.12879v1 [cs.LG])

Programmatic Weak Supervision (PWS) aggregates the source votes of multiple
weak supervision sources into probabilistic training labels, which are in turn
used to train an end model. With its increasing popularity, it is critical to
have some tool for users to understand the influence of each component (e.g.,
the source vote or training data) in the pipeline and interpret the end model
behavior. To achieve this, we build on Influence Function (IF) and propose
source-aware IF, which leverages the generation …

arxiv function influence programmatic understanding