Contributing Dimension Structure for Coreset Selection in Deep Learning
The author introduces a novel Contributing Dimension Structure (CDS) metric to enhance diversity in coreset selection methods, addressing the limitations of existing similarity metrics. By integrating the CDS constraint, the proposed method effectively boosts model performance across various datasets.
