Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. (arXiv:2111.15186v2 [cs.LG] UPDATED)

Obtaining annotations for large training sets is expensive, especially in
settings where domain knowledge is required, such as behavior analysis. Weak
supervision has been studied to reduce annotation costs by using weak labels
from task-specific labeling functions (LFs) to augment ground truth labels.
However, domain experts still need to hand-craft different LFs for different
tasks, limiting scalability. To reduce expert effort, we present AutoSWAP: a
framework for automatically synthesizing data-efficient task-level LFs. The key
to our approach is to efficiently …

analysis arxiv behavior behavior analysis