most citedData Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling

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

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1 paper

cs.CV2024★ 1 cited

Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling

Steven Grosz, Rui Zhao, Rajeev Ranjan +4

This paper improves upon existing data pruning methods for image classification by introducing a novel pruning metric and pruning procedure based on importance sampling. The propos…