A multi-source reliability framework for transfer learning improves bird species recognition under sparse positive labels, but gains are modest and often not statistically significant.
Different datasets help different label subsets, motivating a framework that explicitly models source reliability instead of pooling all external data into a single train- ing set
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Transfer Learning for Avian Bioacoustics under Sparse Positive Labels
A multi-source reliability framework for transfer learning improves bird species recognition under sparse positive labels, but gains are modest and often not statistically significant.