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Exemplar-Free Analytic Learning for Multi-Label Audio Class-Incremental Learning
Audio classification is inherently a multi-label task, as real-world acoustic environments contain multiple simultaneous sound events. When new sound classes emerge, models must incorporate them without forgetting previously learned ones: a challenge known as class-incremental learning. Existing met
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