Towards Robust Prompts on Vision-Language Models

Towards Robust Prompts on Vision-Language Models

17 April 2023

Jindong Gu

Philip H. S. Torr

Papers citing "Towards Robust Prompts on Vision-Language Models"

10 / 10 papers shown

Title
Universal Domain Adaptation from Foundation Models: A Baseline Study Bin Deng K. Jia VLM 11 6 0 18 May 2023
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 178 384 0 06 Nov 2021
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA Zhengyuan Yang Zhe Gan Jianfeng Wang Xiaowei Hu Yumao Lu Zicheng Liu Lijuan Wang 169 401 0 10 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 Feb 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 293 3,683 0 11 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020