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Found 2 papers, 2 papers with code
Reinforcement Learning with Generative Models for Compact Support Sets
In this work, we propose a framework utilizing reinforcement learning as a control for foundation models, allowing for the granular generation of small, focused synthetic support sets to augment the performance of neural network models on real data classification tasks.
MyriadAL: Active Few Shot Learning for Histopathology
To this end, we introduce an active few shot learning framework, Myriad Active Learning (MAL), including a contrastive-learning encoder, pseudo-label generation, and novel query sample selection in the loop.
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