Unverified50% confidenceSolutionExact time
Due to the lack of large-scale labeled data, researchers often rely on transfer learning or self-supervised learning, first pretraining representations on massive unlabeled signals and then fine-tuning classifiers with a small amount of controlled experimental data.
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10/20/2026
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