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cs.CL2021
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification
Guang Liu, Hailong Huang, Yuzhao Mao +3
Data augmentation (DA) aims to generate constrained and diversified data to improve classifiers in Low-Resource Classification (LRC). Previous studies mostly use a fine-tuned Langu…
cs.CL2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup
Guang Liu, Yuzhao Mao, Hailong Huang +2
Mixup is a recent regularizer for current deep classification networks. Through training a neural network on convex combinations of pairs of examples and their labels, it imposes l…