FSL-Mate is a collection of resources for few-shot learning (FSL).
In particular, FSL-Mate currently contains
- FewShotPapers: a paper list which tracks the research advances on FSL
- PaddleFSL: a PaddlePaddle-based python library for FSL
We are endeavored to constantly update FSL-Mate. Hopefully, it can make FSL easier.
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[2025-10-14] Add FSL papers published in CVPR 2025, ACL 2025 and IJCAI 2025.
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[2025-07-17] Add FSL papers published in CVPR 2024, ICML 2024, IJCAI 2024, ACL 2024, NeurIPS 2024, EMNLP 2024, ICCV 2024, ICLR 2025, WWW 2024-2025, KDD 2024-2025, AAAI 2024-2025, NAACL 2024-2025, SIGIR 2024-2025.
Please cite our paper if you find it helpful.
@article{wang2020generalizing,
title={Generalizing from a few examples: A survey on few-shot learning},
author={Wang, Yaqing and Yao, Quanming and Kwok, James T and Ni, Lionel M},
journal={ACM Computing Surveys},
volume={53},
number={3},
pages={1--34},
year={2020},
publisher={ACM New York, NY, USA}
}
We welcome advices and feedbacks for FSL-Mate. Please feel free to open an issue or contact Yaqing Wang.