Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
feature matrix X and known label matrix Yl to generate and improve the estimate ~Yu for the unknown label matrix Yu. The general workflow consists of two parts. First, self-supervised learning is leveraged to obtain an unsupervised representation for the unlabeled data. Then, a nearest neighbor