This repository contains some techniques to utilize huge amount of unlabeled corpus available for tasks such as sentiment classification to improve final accuracy of the trained network on test data.

[1]. Learning to learn from weak supervision

A meta-learning setup to utitlize a huge corpus of unlabeled data for target task. An implementation based on Learning to learn from weak supervision by full supervision.