Few-Shot Learning with Siamese Networks and Label Tuning

Thomas Müller, Guillermo Pérez-Torró, Marc Franco-Salvador

We study the problem of building text classifiers with little or no training data, commonly known as zero and few-shot text classification. In recent years, an approach based on ne…