Awesome Diffusion

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises

Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Mingxuan Wang

arXiv 2023. Paper

2023-02-20

A Reparameterized Discrete Diffusion Model for Text Generation

Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong

arXiv 2023. Paper

2023-02-11

Long Horizon Temperature Scaling

Andy Shih, Dorsa Sadigh, Stefano Ermon

arXiv 2023. Paper

2023-02-07

DiffusER: Diffusion via Edit-based Reconstruction

Machel Reid, Vincent Josua Hellendoorn, Graham Neubig

ICLR 2023. Paper

2023-02-02

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model

Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan

arXiv 2022. Paper

2022-12-22

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

arXiv 2022. Paper

2022-12-20

Diff-Glat: Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou

arXiv 2022. Paper

2022-12-20

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation

Zhujin Gao¹, Junliang Guo¹, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu

arXiv 2022. Paper

2022-12-19

Latent Diffusion for Language Generation

Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Weinberger

arXiv 2022. Paper

2022-12-19

Continuous diffusion for categorical data

Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler

arXiv 2022. Paper

2022-11-28

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

Zhengfu He¹, Tianxiang Sun¹, Kuanning Wang, Xuanjing Huang, Xipeng Qiu

arXiv 2022. Paper Github

2022-11-28

Self-conditioned Embedding Diffusion for Text Generation

Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond

arXiv 2022. Paper

2022-11-08

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov

arXiv 2022. Paper

2022-10-31

DiffusER: Discrete Diffusion via Edit-based Reconstruction

Machel Reid, Vincent J. Hellendoorn, Graham Neubig

arXiv 2022. Paper

2022-10-30

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Shansan Gong¹, Mukai Li¹, Jiangtao Feng, Zhiyong Wu, LingPeng Kong

arXiv 2022. Paper

2022-10-17

Composable Text Controls in Latent Space with ODEs

Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu

arXiv 2022. Paper Github

2022-08-01

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruigi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

ICML 2022. Paper Github

2022-06-13

Diffusion-LM Improves Controllable Text Generation

Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

NeurIPS 2022. Paper Github

2022-05-27

Step-unrolled Denoising Autoencoders for Text Generation

Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aaron van den Oord

ICLR 2022. Paper Github

2021-12-13

Zero-Shot Translation using Diffusion Models

Eliya Nachmani¹, Shaked Dovrat¹

arXiv 2021. Paper

2021-11-02

Structured Denoising Diffusion Models in Discrete State-Spaces

Jacob Austin¹, Daniel D. Johnson¹, Jonathan Ho, Daniel Tarlow, Rianne van den Berg

NeurIPS 2021. Paper

2021-07-07