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PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data [article]

Yufeng Wang, Dan Li, Xiang Li, Min Yang
2021 arXiv   pre-print
In this paper, we propose a novel unsupervised missing data imputation method named PC-GAIN, which utilizes potential category information to further enhance the imputation power.  ...  GAIN, a recently proposed deep generative model for missing data imputation, has been proved to outperform many state-of-the-art methods.  ...  In this paper, we aim to exploit the implicit category information contained in the incomplete data, and develop a novel pseudo-label conditional GAN (PC-GAIN) to enhance the imputation quality of GAIN  ... 
arXiv:2011.07770v2 fatcat:sqh3taunebgjvekrzh75h2uofi