Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
学习的中继表示用于前向思考的离散扩散模型
机构 * University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校) ; University of Toronto(多伦多大学) ; Stanford University(斯坦福大学) ; Imperial College London(伦敦帝国学院) ; Mila ; Vijil
AI总结 提出Learned Relay Representations (Relay)方法,通过可微通道传递潜在信息,使掩码扩散模型在去噪步骤间前向思考,减少推理延迟并提升性能。
Comments 16 pages, 3 figures. Equal contribution: Benjamin Rozonoyer, Jacopo Minniti, and Dhruvesh Patel. Code: this https URL (https://github.com/jacopo-minniti/relay)