Tag: meta-learning

A new hybrid recommender called Meta KG-NCF combines a frozen knowledge graph prior, neural collaborative filtering, and first-order meta-learning to ...

Researchers have unveiled a meta-learning model that recognizes ship types from underwater sound using only a few examples while retaining ...

Chinese researchers have unveiled a lightweight hierarchical deep learning framework that matches or beats state-of-the-art cross-domain few-shot learning methods while ...

A new adaptive multi-task neural network called AXMLN dramatically improves radio signal detection at extremely low signal-to-noise ratios, providing a ...

Researchers have developed a geometry-aware oversampling method that uses neural density fields and meta-learning to generate synthetic minority-class samples adapted ...

A new dual-view graph neural network called HD-SKRG achieves state-of-the-art few-shot molecular property prediction by combining hierarchical atom and functional-group ...