Official implementation of "Learning The Pareto Front With HyperNetworks".
Pareto HyperNetworks (PHN) learn the entire pareto front using a single model.
git clone https://github.com/AvivNavon/pareto-hypernetworks.git
cd pareto-hypernetworks
pip install -e .
To run the experiment follow the README.md
files within each experiment folder.
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}
}