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MetaMix

About

Source code of the paper Improving Generalization in Meta-learning via Task Augmentation. This code is built upon the pytorch implementation of few-shot learning few-shot and the implementation of MAML++, MR-MAML.

If you find this repository useful in your research, please cite the following paper:

@inproceedings{yao2021improving,
  title={Improving Generalization in Meta-learning via Task Augmentation},
  author={Yao, Huaxiu and Huang, Longkai and Zhang, Linjun and Wei, Ying and Tian, Li and Zou, James and Huang, Junzhou and Li, Zhenhui},
  booktitle={Proceeding of the Thirty-eighth International Conference on Machine Learning},
  year={2021} 
}

Data

We have put the related datasets in Google Drive

Usage

Dependence

  • python 3.*
  • Pytorch 1.17+
  • Tensorflow 1.15 (for Pose only)

Drug

Please see the bash file in /Drug for hyperparameter settings

Pose

Please see the bash file in /Pose for hyperparameter settings

miniImagenet

Please see the bash file in /miniImagenet for hyperparameter settings

Omniglot

Please see the bash file in /omniglot for hyperparameter settings

About

MetaMix for ICML 2021

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  • Python 97.5%
  • Shell 2.5%