Semi-Supervised Learning with Multiple Imputations on Non-Random Missing Labels

Jason Lu, Michael Ma, Huaze Xu +1

Semi-Supervised Learning (SSL) is implemented when algorithms are trained on both labeled and unlabeled data. This is a very common application of ML as it is unrealistic to obtain…