Class-proportional variants of difficulty-based coreset selection outperform class-agnostic methods on class-imbalanced security and medical datasets, particularly at 90-99.9% pruning rates.
Re- marks on some nonparametric estimates of a density func- tion
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Class-Proportional Coreset Selection for Difficulty-Separable Data
Class-proportional variants of difficulty-based coreset selection outperform class-agnostic methods on class-imbalanced security and medical datasets, particularly at 90-99.9% pruning rates.