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Mismatch-weighted facility location (MW-FL) redefines active learning for audio classification, outperforming traditional methods by prioritizing segment diversity over mere disagreement.
Greedy selection of segments based on gradient embeddings can dramatically improve rare call-type classification in bioacoustics, achieving superior performance over traditional methods.
