Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic the meanings of messages or goal message exchange aims achieve. Next generation systems, however, can be potentially enriched by folding semantics and goals communication into their design. Further, these made cognizant context in which t...

Abstract Data hallucination generates additional training examples for novel classes to alleviate the data scarcity problem in few‐shot learning (FSL). Existing hallucination‐based FSL methods normally train a general embedding model first by applying information extracted from base that have abundant data. In those methods, hallucinators are then built upon trained generate classes. However, t...