UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
arXiv:2604.10952v1 Announce Type: new Abstract: Selecting prototypical examples from a source distribution to represent a target data distribution is a fundamental problem in machine learning. Existin