In our experiments, ADA consistently showed improvements in model performance under low data regimes, highlighting its effectiveness in scenarios where data is scarce.
Through our analysis across various datasets, we found that ADA not only outperforms traditional methods like C-Mixup but also preserves the underlying nonlinear structures of the data.
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