Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!

8 May 2023

Papers citing "Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!"

4 / 4 papers shown

Title
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 38 13 0 29 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 171 772 0 27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021