ACM

Meta and Google researchers’ new data curation method could transform self-supervised learning

The new technique automatically curates balanced datasets, avoiding undersampling rare data, for training self-supervised learning models.
The new technique automatically curates balanced datasets, avoiding undersampling rare data, for training self-supervised learning models.Read More

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