Skip to content

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

License

Notifications You must be signed in to change notification settings

AvivNavon/pareto-hypernetworks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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}
}

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages