Core set discovery
1 papers with code • 14 benchmarks • 5 datasets
A core set in machine learning is defined as the minimal set of training samples that allows a supervised algorithm to deliver a result as good as the one obtained when the whole set is used.
Benchmarks
These leaderboards are used to track progress in Core set discovery
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MNIST
UCI Machine Learning Repository
Letter
Abalone
Most implemented papers
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data.
