LLP-GAN trains a GAN discriminator to be the instance classifier using only bag-level label proportions, and its optimal discriminator is shown to be a bag-proportion mixture.
Towards principled methods for training generative adver- sarial networks
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Learning from Label Proportions with Generative Adversarial Networks
LLP-GAN trains a GAN discriminator to be the instance classifier using only bag-level label proportions, and its optimal discriminator is shown to be a bag-proportion mixture.