2020
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
CVPR 2020poster
We propose a novel imputation method for highly missing data. Though most existing imputation methods focus on moderate missing rate, imputation for high missing rate over 80% is still important but challenging. As we expect that multiple imputation is indispensable for high missing rate, we propose…