In-Context Learning Unlocked for Diffusion Models

In-Context Learning Unlocked for Diffusion Models

1 May 2023

Mingyuan Zhou

Papers citing "In-Context Learning Unlocked for Diffusion Models"

7 / 7 papers shown

Title
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models Korawat Tanwisuth Shujian Zhang Huangjie Zheng Pengcheng He Mingyuan Zhou VLM VPVLM 52 15 0 29 Apr 2023
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 146 537 0 27 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 276 5,177 0 28 Jan 2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition Kunchang Li Yali Wang Junhao Zhang Peng Gao Guanglu Song Yu Liu Hongsheng Li Yu Qiao ViT 108 223 0 24 Jan 2022
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models Yuan Yao Ao Zhang Zhengyan Zhang Zhiyuan Liu Tat-Seng Chua Maosong Sun MLLM VPVLM VLM 157 178 0 24 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 301 2,108 0 02 Sep 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers Lisa Anne Hendricks John F. J. Mellor R. Schneider Jean-Baptiste Alayrac Aida Nematzadeh 46 95 0 31 Jan 2021