/pareto-hypernetworks

Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]

Primary LanguagePythonMIT LicenseMIT

Pareto HyperNetworks

Official implementation of "Learning The Pareto Front With HyperNetworks".

Pareto HyperNetworks (PHN) learn the entire pareto front using a single model.

Install

git clone https://github.com/AvivNavon/pareto-hypernetworks.git
cd pareto-hypernetworks
pip install -e .

Run Experiments

To run the experiment follow the README.md files within each experiment folder.

Citation

If you find PHN to be useful in your own research, please consider citing the following paper:

@inproceedings{
navon2021learning,
title={Learning the Pareto Front with Hypernetworks},
author={Aviv Navon and Aviv Shamsian and Gal Chechik and Ethan Fetaya},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=NjF772F4ZZR}
}