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Graph with difference in test error in keeping hard versus easy examples

Unsupervised Data Pruning: New method removes useless machine learning data.

Large datasets often contain overly similar examples that consume training cycles without contributing to learning. A new paper identifies similar training examples, even if they’re not labeled.

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