1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification
Xueliang Wang, Jianyu Cai, Shuiwang Ji +3
Few-shot classification aims to learn a model that can generalize well to new tasks when only a few labeled samples are available. To make use of unlabeled data that are more abund…
cs.CL2022★ 1 cited
Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities
Xueliang Wang, Jiajun Chen, Feng Wu +1
Knowledge graph (KG) embedding aims at learning the latent representations for entities and relations of a KG in continuous vector spaces. An empirical observation is that the head…