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HSML_Dynamic

About

Source code<a href="#note1" id="note1ref">¹</a> (Dynamic version) of the paper Hierarchically Structured Meta-learning

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

@inproceedings{yao2019hierarchically,
  title={Hierarchically Structured Meta-learning},
  author={Yao, Huaxiu and Wei, Ying and Huang, Junzhou and Li, Zhenhui},
  booktitle={Proceedings of the 36th International Conference on Machine Learning},
  year={2019} 
}

Data

We release our Multi-Datasets including bird, texture, aircraft and fungi in this link.

Usage

Dependence

• python 3.*
• TensorFlow 1.0+
• Numpy 1.15+

Online Bash

Please see the bash file in /online_bash for parameter settings

<a id="note1" href="#note1ref">¹</a>This code is built based on the MAML.