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Sagan

Paper

Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

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AI summary

arXiv:2606. 07630v1 Announce Type: cross Abstract: Real-world datasets across image and text domains are often characterized by skewed class distributions and noisy annotations, which jointly degrade model performance, particularly on minority classes.