Search Results for author:
Found 2 papers, 1 papers with code
Semi-Supervised Few-Shot Learning via Multi-Factor Clustering
And we exploit the pseudo labels of unlabeled samples by MFC to expand the support set for obtaining more distribution information.
Machine Learning based prediction of noncentrosymmetric crystal materials
Noncentrosymmetric materials play a critical role in many important applications such as laser technology, communication systems, quantum computing, cybersecurity, and etc.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
