Viet-Anh on Software Logo

What is: Virtual Data Augmentation?

SourceVirtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Virtual Data Augmentation, or VDA, is a framework for robustly fine-tuning pre-trained language model. Based on the original token embeddings, a multinomial mixture for augmenting virtual data is constructed, where a masked language model guarantees the semantic relevance and the Gaussian noise provides the augmentation diversity. Furthermore, a regularized training strategy is proposed to balance the two aspects.