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STCH

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}
}

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