TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data

Artifacts for the Artifact Evaluation of MLSys 2022 TAGLETS is a system that automatically and efficiently exploits all available data, including labeled, unlabeled, and auxiliary data, for a given task to produce a single, robust classifier. TAGLETS extracts relevant auxiliary data for training using SCADs, a database of auxiliary data aligned with concepts in ConceptNet, and passes all relevant data to an ensemble of user-specified modules, which are trained and distilled into a final classifier.