AI RESEARCH
Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
arXiv CS.LG
•
ArXi:2605.00265v1 Announce Type: new Real-world knowledge is often organized as hierarchies such as product taxonomies, medical ontologies, and label trees, yet learning hierarchical representations is challenging due to asymmetric structure and noisy semantics. We