Data pruning importance scores can be extrapolated from a 10-25% random subset to the full dataset with kNN or GNN, saving time with a small accuracy loss.
Datamodels: Predicting predictions from training data
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Effective Data Pruning through Score Extrapolation
Data pruning importance scores can be extrapolated from a 10-25% random subset to the full dataset with kNN or GNN, saving time with a small accuracy loss.