synbol/Awesome-Parameter-Efficient-Transfer-Learning
Collection of awesome parameter-efficient fine-tuning resources.
This is a curated list of research papers and resources focused on 'parameter-efficient transfer learning' for large AI models. It helps AI researchers and practitioners quickly find relevant academic work on methods that adapt pre-trained models to new tasks with minimal computational cost. The collection serves as an up-to-date bibliography for those looking to efficiently fine-tune powerful AI models.
588 stars.
Use this if you are an AI researcher or machine learning engineer looking for academic resources on techniques to adapt large pre-trained models to specific tasks without retraining the entire model, saving significant compute and memory.
Not ideal if you are looking for ready-to-use code, tutorials, or a high-level explanation of AI concepts, as this is a collection of academic papers.
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Dec 10, 2025
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