https://github.com/ai4co/unsupervised-co-ucom2
[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
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[ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Basic Info
- Host: GitHub
- Owner: ai4co
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://arxiv.org/abs/2405.08424
- Size: 23.7 MB
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- Stars: 9
- Watchers: 3
- Forks: 0
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Metadata Files
README.md
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization
Source code for the ICML'24 paper Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More, where we study and propose UCom2 (Unsupervised Combinatorial Optimization Under Commonly-involved Conditions).
Paper link: https://arxiv.org/abs/2405.08424
The "facilitylocationandmaxcover" folder contains the code for the experiments on facility location and maximum coverage.
The "robust_coloring" folder contains the code for the experiments on robust coloring.
Please check the README file in each folder for the guidance for the experiments on each problem.
Citation
@inproceedings{bu2024ucom2,
title={Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More},
author={Bu, Fanchen and Jo, Hyeonsoo and Lee, Soo Yong and Ahn, Sungsoo and Shin, Kijung},
booktitle={ICML},
year={2024}
}
Owner
- Name: ai4co
- Login: ai4co
- Kind: organization
- Repositories: 1
- Profile: https://github.com/ai4co
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