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arXiv AI By Shiqi Zhang, Tuomas Virtanen

Geometric Consistency Based Label-Free Validation for Checkpoint Selection in Audio Active Learning

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The paper introduces a label‑free validation method called geometric consistency for selecting checkpoints in audio active learning. It uses pretrained embeddings to generate pseudo‑labels for unlabeled data, scoring checkpoints by agreement with these pseudo‑labels and cross‑entropy on the labeled set. The method works with any query strategy, requires only one additional forward pass per round, and achieves top performance in area under the labeling curve without using extra labeled data.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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