most citedLong-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2021★ 2 cited

Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks

Fan Liu, Shuyu Zhao, Xuelong Dai +1

Meta-learning model can quickly adapt to new tasks using few-shot labeled data. However, despite achieving good generalization on few-shot classification tasks, it is still challen…