Ssmba: Self-supervised manifold based data augmentation for improving out-of-domain robustness

Nathan Ng

Nathan is a PhD student at the University of Toronto visiting at MIT. He is interested generally in natural language processing and semi-supervised learning, specifically in improving the generalization properties of models using unlabelled data.