Deep Learning, Artificial Intelligence, Self Supervised Learning, Semi Supervised Learning, Graph Laplacian.
captures the similarity among data, LP will aggregate and smooth out the inconsistency from noisy neighbor labels so that the neighbors with the correct label can stand out. As illustrated above, with a noise level below 0.8, LP quickly reduces the noise level in pseudo label with an increasing