2020
Autoencoder-based Graph Construction for Semi-supervised Learning
ECCV 2020poster
We consider graph-based semi-supervised learning that leverages a similarity graph across data points to better exploit data structure exposed in unlabeled data. One challenge that arises in this problem context is that conventional matrix completion which can serve to construct a similarity graph e…