% Key papers for Multi-objective gradient methods (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2021_gradient_30134,
  title = {{Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2550},
}

@inproceedings{aaai2024_runtime_7193,
  title = {{Runtime Analysis of the SMS-EMOA for Many-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30077},
}

@inproceedings{icml2020_multi_38475,
  title = {{Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6375},
}

@inproceedings{neurips2021_conflict_62563,
  title = {{Conflict-Averse Gradient Descent for Multi-task learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27328},
}

@inproceedings{iclr2019_autoloss_28770,
  title = {{AutoLoss: Learning Discrete Schedule for Alternate Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1063},
}

@inproceedings{neurips2023_famo_70074,
  title = {{FAMO: Fast Adaptive Multitask Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69900},
}

@inproceedings{aaai2025_psmgd_10253,
  title = {{PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35482},
}

@inproceedings{neurips2022_gal_64708,
  title = {{GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53525},
}

@inproceedings{neurips2022_multi_64132,
  title = {{Multi-Objective Deep Learning with Adaptive Reference Vectors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53132},
}

@inproceedings{neurips2022_on_64983,
  title = {{On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54260},
}

@inproceedings{cvpr2025_revisiting_27461,
  title = {{Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35104},
}

@inproceedings{iclr2023_mitigating_32900,
  title = {{Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10995},
}

@inproceedings{neurips2023_direction_66771,
  title = {{Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72863},
}

@inproceedings{neurips2024_libmoon_73195,
  title = {{LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97588},
}

@inproceedings{aaai2025_paid_10258,
  title = {{Paid with Models: Optimal Contract Design for Collaborative Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33552},
}

@inproceedings{icml2020_growing_38273,
  title = {{Growing Adaptive Multi-hyperplane Machines}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6507},
}

@inproceedings{icml2024_the_43897,
  title = {{The Role of Learning Algorithms in Collective Action}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34555},
}

@inproceedings{icml2025_modeling_46647,
  title = {{Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45923},
}

@inproceedings{icml2025_aligned_47142,
  title = {{Aligned Multi Objective Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45445},
}

@inproceedings{neurips2025_objective_79893,
  title = {{Objective Soups: Multilingual Multi-Task Modeling for Speech Processing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=u0YyIHljXO},
}

@inproceedings{neurips2026_delve_90102,
  title = {{Delve into the Applicability of Advanced Optimizers for Multi-Task Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149197},
}

@inproceedings{aaai2026_multi_107745,
  title = {{Multi-Objective Bilevel Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40097},
}

@inproceedings{iclr2024_adaptive_34751,
  title = {{Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18323},
}

@inproceedings{iclr2025_leveraging_81219,
  title = {{Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30551},
}

@inproceedings{neurips2026_curvature_90674,
  title = {{Curvature-Guided Parameter Initialization for Multi-Task Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152159},
}

@inproceedings{cvpr2026_machine_97166,
  title = {{Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lu_Machine_Unlearning_via_Adaptive_Gradient_Reweighting_and_Multi-stage_Objective_Optimization_CVPR_2026_paper.html},
}