2019
Label Efficient Semi-Supervised Learning via Graph Filtering
CVPR 2019poster
Graph-based methods have been demonstrated as one of the most effective approaches for semi-supervised learning, as they can exploit the connectivity patterns between labeled and unlabeled data samples to improve learning performance. However, existing graph-based methods either are limited in their…