manilatimes

IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data issues. The paper, titled "Research on the Application ...
EurekAlert!

Teachers cooperation: team-knowledge distillation for multiple cross-domain few-shot learning

Although few-shot learning (FSL) has achieved great progress, it is still an enormous challenge especially when the source and target sets are from different domains, which is also known as ...
sciencex

KD-crowd: A knowledge distillation framework for learning from crowds

Crowdsourcing efficiently delegates tasks to crowd workers for labeling, though their varying expertise can lead to errors. A key task is estimating worker expertise to infer true labels. However, the ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...