HexaGAN: Generative Adversarial Nets for Real World Classification

26 Feb 2019Uiwon HwangDahuin JungSungroh Yoon

Most deep learning classification studies assume clean data. However, when dealing with the real world data, we encounter three problems such as 1) missing data, 2) class imbalance, and 3) missing label problems... (read more)

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