A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.
Expanding small-scale datasets with guided imag- ination.Advances in neural information processing systems, 36:76558–76618, 2023
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Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
A reinforcement learning approach adapts general generative models to produce synthetic data that boosts identity recognition accuracy and generalization under privacy constraints.