Data Efficiency

Efficient Semi-Supervised Adversarial Training via Latent Clustering-Based Data Reduction
We introduce latent clustering-based data reduction methods to choose a core subset from the entire unlabeled dataset, aiming to improve the efficiency of semi-supervised adversarial training while preserving robustness.
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