Instead of relying solely on extensive training data, few-shot learning algorithms leverage prior knowledge and transfer learning techniques to generalize from a few instances and make accurate ...

which is also known as cross-domain few-shot learning (CD-FSL). Utilizing more source domain data is an effective way to improve the performance of CD-FSL. However, knowledge from different source ...

In-context learning is ... LLM’s internal knowledge of the problem. In unsupervised ICL, the prompt is composed of a list of unsolved problems along with a zero-shot or few-shot prompt for ...

With industries increasingly adopting machine learning, it seems likely that knowledge graph technology will also evolve hand-in-hand. As well as being a useful format for feeding training data to ...