Active learning with foundation model priors achieves over 50% annotation savings on imbalanced noisy datasets across image and text domains while maintaining performance.
Active learning at the imagenet scale.arXiv preprint arXiv:2111.12880,
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Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance
Active learning with foundation model priors achieves over 50% annotation savings on imbalanced noisy datasets across image and text domains while maintaining performance.