A CGAN with residual generator blocks and a heuristically computed weight mask on the discriminator reports better IS/FID on MNIST, but the paper lacks downstream few-shot evaluation and any code or training details.
Calibration Learning for Few-shot Novel Product Description,
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Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
A CGAN with residual generator blocks and a heuristically computed weight mask on the discriminator reports better IS/FID on MNIST, but the paper lacks downstream few-shot evaluation and any code or training details.