FSL-Mate: A collection of resources for few-shot learning (FSL).

Overview

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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!

  • [11/21] Add FSL papers published in ICCV 2021, EMNLP 2021 and NeurIPS 2021.

  • [08/21] Add FSL papers published in AAAI 2021, ICML 2021, SIGIR 2021, ACL-IJCNLP 2021, KDD 2021, and IJCAI 2021.

  • [08/21] PaddleFSL now supports image classification, relation classification and FewClue tasks.

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.

Owner
Yaqing Wang
Yaqing Wang
Training Very Deep Neural Networks Without Skip-Connections

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