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cs.CL2022
A Data Cartography based MixUp for Pre-trained Language Models
Seo Yeon Park, Cornelia Caragea
MixUp is a data augmentation strategy where additional samples are generated during training by combining random pairs of training samples and their labels. However, selecting rand…
cs.CL2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
Seo Yeon Park, Cornelia Caragea
A well-calibrated neural model produces confidence (probability outputs) closely approximated by the expected accuracy. While prior studies have shown that mixup training as a data…