Reports on Neural Networks and Learning Systems from Beihang University Provide New Insights (Transductive Relation-propagation With Decoupling Training for Few-shot Learning)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Research findings on Networks - Neural Networks and Learning Systems are discussed in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Few-shot learning, aiming to learn novel concepts from one or a few labeled examples, is an interesting and very challenging problem with many practical advantages. Existing few-shot methods usually utilize data of the same classes to train the feature embedding module and in a row, which is unable to learn adapting to new tasks.”