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HSML for ICML 2019
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multidataset_bash
toygroup_bash
README.md
data_generator.py
image_embedding.py
lstm_tree.py
main.py
maml.py
special_grads.py
task_embedding.py
utils.py

README.md

HSML (Hierarchically Structured Meta-learning)

About

Source code1 of the paper Hierarchically Structured Meta-learning

For continual version of this algorithm, please refer to this repo.

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+

Toy Group Data

Please see the bash file in /toygroup_bash for parameter settings

Multi-datasets Data

Please see the bash file in /multidataset_bash for parameter settings

1This code is built based on the MAML.

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