arXiv Machine Learning July 2, 2026 By L. C. Ayres, J. C. M. Bermudez, S. J. M. de Almeida, R. A. Borsoi

Group-invariant Coresets for Data-efficient Active Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 01089v1 Announce Type: cross Abstract: Active learning reduces labeling cost by querying the most informative unlabeled samples, but standard coreset methods ignore known data symmetries and can waste budget on transformed versions of the same instance.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

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Active Learning with Low-Rank Structure for Data Selection

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