Code for ICML2024 Paper: Smooth Tchebycheff Scalarization for Multi-Objective Optimization
It contains the training and testing codes (and trained models) for
- Deep Multi-Task Learning (in the STCH_MTL folder), and
- Pareto Set Learning (in the STCH_PSL folder).
Reference
If you find our work helpful for your research, please cite our paper:
@inproceedings{lin2024smooth,
title={Smooth Tchebycheff Scalarization for Multi-Objective Optimization},
author={Lin, Xi and Zhang, Xiaoyuan and Yang, Zhiyuan and Liu, Fei and Wang, Zhenkun and Zhang, Qingfu},
booktitle={International Conference on Machine Learning},
year={2024}
}