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https://github.com/tata1661/FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).
https://github.com/tata1661/FSL-Mate

deep-learning few-shot few-shot-learning few-shot-paper few-shot-papers low-shot meta-learning one-shot-learning paddlepaddle paper papers

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

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README

          

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**FSL-Mate** is a collection of resources for few-shot learning (FSL).

In particular, FSL-Mate currently contains

- [**FewShotPapers**](https://github.com/tata1661/FSL-Mate/tree/master/FewShotPapers): a paper list which tracks the research advances on FSL
- [**PaddleFSL**](https://github.com/tata1661/FSL-Mate/tree/master/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](https://dl.acm.org/doi/10.1145/3386252?cid=99659542534) 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](mailto:wangyaqing01@baidu.com).