FMRL

This repository contains code and scripts to recreate the task-similarity, quadratic growth, and deep learning experiments from the FMRL paper (citation below).

• task-similarity: similarity.py
• quadratic growth: growth.py
• deep learning: .sh scripts in reptile directory (edited clone of OpenAI's Reptile codebase)
• MiniWiki dataset: .tar.gz file in data/
• MiniWiki experiments: online.py (Dependencies: scikit-learn, cvxpy, scipy, numpy, torch, h5py, matplotlib, text_embedding)

Citation:

@inproceedings{khodak2019fmrl,
  title={Provable Guarantees for Gradient-Based Meta-Learning},
  author={Khodak, Mikhail and Balcan, Maria-Florina and Talwalkar, Ameet},
  booktitle={Proceedings of the 36th International Conference on Machine Learning,},
  year={2019}
}