Awesome-Parameter-Efficient-Transfer-Learning
Awesome-Parameter-Efficient-Transfer-Learning copied to clipboard
synbol
Collection of awesome parameter-efficient fine-tuning resources.
Dear repository owner, I am reaching out to express our admiration for your repository. I am the author who recently published a paper titled "Learning Semantic Proxies from Visual Prompts...
Hi, Thank you for the cool work! I realized that Visual PEFT Library is released according to the News section. Could you please provide the GitHub link to the Visual...
Hi there! Could you please add a recent work about prompt tuning in text-video retrieval? Our code has been released, Thanks a lot! (AAAI2024_DGL) DGL: Dynamic Global-Local Prompt Tuning for...
Pretty cool project. Really enjoy it. Could you please add the below papers to the repository? They belong to side-tuning branch. **(*CVPR2024_UniPT*) UniPT: Universal Parallel Tuning for Transfer Learning with...
Hi there! Thanks for maintaining the repository. Could you please add our new ECCV paper to the repository? We introduced a generic method, which could fit for both Adapter Tuning...
Hi, I have been looking for a simple example/script or even a paper that shows how I can use the prompt-tuning technique to fine-tune the text encoder of a stable...
