DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression 事件

DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression arXiv:2606.07599v1 Announce Type: cross Abstract: Ordinal Regression (OR) aims to predict target values with inherent order, underpinning critical applications across diverse domains, from recommender systems to computer vision. Though having evolved from naive regression to discretization-based classification and generation, existing paradigms remain fundamentally constrained by quantization artifacts and the la