Task vector arithmetic on near-orthogonal bioacoustic models allows composing multi-taxa classifiers without data sharing, with asymmetric accuracy gains for underrepresented taxa.
Problem setting We consider building a multi-taxa classifier fromNindepen- dently trained specialists without access to their training data
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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.