Awesome

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.

News🔥

• [2024-03-06] Add FSL papers published in ICLR 2024.
• [2024-02-20] Add FSL papers published in AAAI and EMNLP 2023.
• [2023-11-29] Add FSL papers published in ICCV and NeurIPS 2023.

Cite Us

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}
}

Contact

We welcome advices and feedbacks for FSL-Mate. Please feel free to open an issue or contact Yaqing Wang.