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GLOSSARY

unsupervised

appears in 1 paper titles

Definition

Learning without human-provided labels, relying on structure in the data itself — clustering and density estimation are the classical cases. The appeal is cost, since unlabeled data is abundant. The difficulty is evaluation: with no ground truth to score against, quality is usually judged by how well the learned representation transfers. Most modern "unsupervised" pre-training is really self-supervised, constructing its labels from the input.

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