Search Results for author: Andrew Nystrom

Found 2 papers, 1 papers with code

Deduplicating Training Data Makes Language Models Better

1 code implementation14 Jul 2021 Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini

As a result, over 1% of the unprompted output of language models trained on these datasets is copied verbatim from the training data.

Language Modelling

Stabilizing Generative Adversarial Networks: A Survey

no code implementations30 Sep 2019 Maciej Wiatrak, Stefano V. Albrecht, Andrew Nystrom

Generative Adversarial Networks (GANs) are a type of generative model which have received much attention due to their ability to model complex real-world data.

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