Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
projection of fθ, gθ and qθ, p is the projection of fξ and gξ. After training is completed, fθ is used, and l(fθ(xi), fθ(xj)) as a similarity metric between xi and xj. (Please feel free to read BYOL if interested.) 3. Nearest Neighbor Graph 3.1. Preliminaries of Normalized Graph Laplacian (Please