jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
This project compiles research papers on efficiently adapting large pre-trained deep learning models for various tasks. It provides a structured list of papers focusing on computer vision and multimodal data, highlighting methods to fine-tune models using minimal changes. Researchers and machine learning engineers looking to develop or apply efficient large-scale vision models would use this.
410 stars. No commits in the last 6 months.
Use this if you are a researcher or engineer looking for literature on parameter-efficient methods to fine-tune large pre-trained models for computer vision and multimodal tasks.
Not ideal if you are looking for ready-to-use code, tutorials for beginners, or papers focused on natural language processing only.
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MIT
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Last pushed
Sep 26, 2024
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