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Geometric Consistency Based Label-Free Validation for Checkpoint Selection in Audio Active Learning
Audio active learning (AL) trains a classifier at low annotation cost by labeling only an informative fraction of an unlabeled collection over successive rounds. Each round picks one of the checkpoints saved during training. Mainstream AL protocols do so with an assumed validation set, but in practi
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