Keep your distance: learning dispersed embeddings on ${\mathbb{S}}_m$

Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae

Learning well-separated features in high-dimensional spaces, such as text or image embeddings, is crucial for many machine learning applications. Achieving such separation can be e…