Leveraging Semantic Embeddings for Safety-Critical Applications

Thomas Brunner, Frederik Diehl, Michael Truong Le +1

Semantic Embeddings are a popular way to represent knowledge in the field of zero-shot learning. We observe their interpretability and discuss their potential utility in a safety-c…