Our paper “Learning to Learn from Weak Supervision by Full Supervision”, with Sascha Rothe, and Jaap Kamps, has been accepted at NIPS2017 Workshop on Meta-Learning (MetaLearn 2017). \o/ Using weak or noisy supervision is a straightforward approach to increase the size of the training data and it has been shown that the output of heuristic […]