How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?

5 Oct 2020 Shayne Longpre Yu Wang Christopher DuBois

Task-agnostic forms of data augmentation have proven widely effective in computer vision, even on pretrained models. In NLP similar results are reported most commonly for low data regimes, non-pretrained models, or situationally for pretrained models... (read more)

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