Zero-Shot Learning with Common Sense Knowledge Graphs. (arXiv:2006.10713v4 [cs.LG] UPDATED)

Zero-shot learning relies on semantic class representations such as
hand-engineered attributes or learned embeddings to predict classes without any
labeled examples. We propose to learn class representations by embedding nodes
from common sense knowledge graphs in a vector space. Common sense knowledge
graphs are an untapped source of explicit high-level knowledge that requires
little human effort to apply to a range of tasks. To capture the knowledge in
the graph, we introduce ZSL-KG, a general-purpose framework with a novel
transformer …

arxiv graphs knowledge knowledge graphs learning lg sense