Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners

18 May 2023

Papers citing "Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners"

8 / 8 papers shown

Title
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration Yiwei Guo Shaobin Zhuang Kunchang Li Yu Qiao Yali Wang VLM CLIP 32 0 0 16 Oct 2024
Interpretable Diffusion via Information Decomposition Xianghao Kong Ollie Liu Han Li Dani Yogatama Greg Ver Steeg 24 20 0 12 Oct 2023
VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders Xuyang Liu Siteng Huang Yachen Kang Honggang Chen Donglin Wang ObjD 33 12 0 03 Sep 2023
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 516 0 06 Dec 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 313 3,708 0 11 Feb 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020