% Key papers for Optimization-based domain generalization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_domain_13037,
  title = {{Domain Generalization With Adversarial Feature Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Domain_Generalization_With_CVPR_2018_paper.html},
}

@inproceedings{aaai2018_learning_102329,
  title = {{Learning to Generalize: Meta-Learning for Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11596},
}

@inproceedings{cvpr2019_domain_14106,
  title = {{Domain Generalization by Solving Jigsaw Puzzles}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_a_16534,
  title = {{A Fourier-Based Framework for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_learning_15816,
  title = {{Learning to Learn Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2019_domain_58163,
  title = {{Domain Generalization via Model-Agnostic Learning of Semantic Features}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13756},
}

@inproceedings{neurips2018_metareg_57375,
  title = {{MetaReg: Towards Domain Generalization using Meta-Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11120},
}

@inproceedings{neurips2018_generalizing_57167,
  title = {{Generalizing to Unseen Domains via Adversarial Data Augmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11521},
}

@inproceedings{iclr2018_generalizing_28654,
  title = {{Generalizing Across Domains via Cross-Gradient Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/83},
}

@inproceedings{aaai2020_domain_103739,
  title = {{Domain Generalization Using a Mixture of Multiple Latent Domains}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6846},
}

@inproceedings{aaai2018_domain_102415,
  title = {{Domain Generalization via Conditional Invariant Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11682},
}

@inproceedings{cvpr2022_pcl_19536,
  title = {{PCL: Proxy-Based Contrastive Learning for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_domain_59738,
  title = {{Domain Generalization via Entropy Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17352},
}

@inproceedings{cvpr2021_adversarially_16587,
  title = {{Adversarially Adaptive Normalization for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_towards_20057,
  title = {{Towards Principled Disentanglement for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_deep_20741,
  title = {{Deep Frequency Filtering for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21931},
}

@inproceedings{neurips2020_domain_59737,
  title = {{Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17083},
}

@inproceedings{cvpr2021_adaptive_16575,
  title = {{Adaptive Methods for Real-World Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{icml2021_domain_39266,
  title = {{Domain Generalization using Causal Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8585},
}

@inproceedings{cvpr2021_uncertainty_18070,
  title = {{Uncertainty-Guided Model Generalization to Unseen Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_rethinking_24635,
  title = {{Rethinking Multi-domain Generalization with A General Learning Objective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31534},
}

@inproceedings{aaai2024_generalizable_6113,
  title = {{Generalizable Sleep Staging via Multi-Level Domain Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27779},
}

@inproceedings{aaai2024_multi_6707,
  title = {{Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29510},
}

@inproceedings{aaai2024_domain_5741,
  title = {{Domain Generalization with Vital Phase Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28070},
}

@inproceedings{aaai2024_symmetric_7458,
  title = {{Symmetric Self-Paced Learning for Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29639},
}

@inproceedings{aaai2024_enhancing_5847,
  title = {{Enhancing Evolving Domain Generalization through Dynamic Latent Representations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29536},
}

@inproceedings{cvpr2025_balanced_25565,
  title = {{Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32517},
}

@inproceedings{aaai2024_generalizing_6121,
  title = {{Generalizing across Temporal Domains with Koopman Operators}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29604},
}

@inproceedings{cvpr2025_gradient_26449,
  title = {{Gradient-Guided Annealing for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34365},
}

@inproceedings{cvpr2025_seeking_27612,
  title = {{Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34616},
}

@inproceedings{neurips2024_towards_72451,
  title = {{Towards Combating Frequency Simplicity-biased Learning for Domain Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94907},
}

@inproceedings{iclr2024_improving_33939,
  title = {{Improving Domain Generalization with Domain Relations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19136},
}

@inproceedings{icml2024_doge_43583,
  title = {{DOGE: Domain Reweighting with Generalization Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34869},
}

@inproceedings{neurips2024_do_72359,
  title = {{Do causal predictors generalize better to new domains?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94992},
}

@inproceedings{aaai2024_transportable_7650,
  title = {{Transportable Representations for Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29175},
}

@inproceedings{iclr2024_continuous_33699,
  title = {{Continuous Invariance Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19376},
}

@inproceedings{aaai2026_mgt_108133,
  title = {{MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40485},
}

@inproceedings{cvpr2025_peer_27181,
  title = {{PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33844},
}

@inproceedings{cvpr2025_when_28153,
  title = {{When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33572},
}

@inproceedings{iclr2024_towards_33820,
  title = {{Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19255},
}