Task vector arithmetic on near-orthogonal bioacoustic models allows composing multi-taxa classifiers without data sharing, with asymmetric accuracy gains for underrepresented taxa.
Julie E Elie and Frederic E Theunissen
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Active learning evaluation in ecology should be transductive rather than inductive, with a hybrid stopping rule that combines prediction and discovery metrics to better recover long-tail classes.
Large empirical study finds self-supervised pre-training then supervised post-training on mixed bioacoustics and general audio data produces the strongest encoders across 26 datasets for species classification, detection, individual ID and repertoire discovery.
citing papers explorer
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Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Data
Task vector arithmetic on near-orthogonal bioacoustic models allows composing multi-taxa classifiers without data sharing, with asymmetric accuracy gains for underrepresented taxa.
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Finding Needles in the Haystack: Transductive Active Labeling in Ecology
Active learning evaluation in ecology should be transductive rather than inductive, with a hybrid stopping rule that combines prediction and discovery metrics to better recover long-tail classes.
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AVEX: What Matters for Animal Vocalization Encoding
Large empirical study finds self-supervised pre-training then supervised post-training on mixed bioacoustics and general audio data produces the strongest encoders across 26 datasets for species classification, detection, individual ID and repertoire discovery.