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synbol / Awesome-Parameter-Efficient-Transfer-Learning

Collection of awesome parameter-efficient fine-tuning resources.
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Proposal to Include Our Work in the Repository #4

Open Noahsark opened 7 months ago

Noahsark commented 7 months ago

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 for Parameter-Efficient Fine-Tuning in Deep Metric Learning (ICLR 2024)" which explores innovative approaches in parameter-efficient transfer learning. Given the relevance of our work to your repository, we were wondering if you would consider including it in your list.

Please let me know if you would like further information. We believe it could make a valuable addition to your collection and assist others in the field.

Thank you for your time and consideration.

@inproceedings{ ren2024learning, title={Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning}, author={Li Ren and Chen Chen and Liqiang Wang and Kien A. Hua}, booktitle={The Twelfth International Conference on Learning Representations}, year={2024}, }

URL: https://arxiv.org/pdf/2402.02340.pdf Code: https://github.com/Noahsark/ParameterEfficient-DML

synbol commented 7 months ago

Thanks for your work, we will update the repository list.