CARE-DPP combines class-balanced uncertainty, annealed embedding novelty, and DPP-based batch diversification for bioacoustic active learning, achieving 0.50 mean AULC versus 0.46 for CoreSet.
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Determinantal point process sampling for bioacoustic active learning
CARE-DPP combines class-balanced uncertainty, annealed embedding novelty, and DPP-based batch diversification for bioacoustic active learning, achieving 0.50 mean AULC versus 0.46 for CoreSet.