SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data

Kacper Jurek, Wojciech Batko, Marek Śmieja +3

Learning from scarce labeled data with a larger pool of unlabeled samples, known as semi-supervised few-shot learning (SS-FSL), remains critical for applications involving tabular…