most citedMixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

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cs.LG2020★ 1 cited

S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels

Arunava Chakraborty, Rahul Ragesh, Mahir Shah +1

Generative adversarial networks (GANs) have been remarkably successful in learning complex high dimensional real word distributions and generating realistic samples. However, they…