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

Publication
arXiv preprint arXiv:2009.10195
Nathan Ng
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.

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