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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…
cs.CV2024
Distilling the Knowledge in Data Pruning
Emanuel Ben-Baruch, Adam Botach, Igor Kviatkovsky +2
With the increasing size of datasets used for training neural networks, data pruning becomes an attractive field of research. However, most current data pruning algorithms are limi…