% Key papers for Augmentation and mixture-of-experts generalization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_robustnet_17777,
  title = {{RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_regularized_103766,
  title = {{Regularized Fine-Grained Meta Face Anti-Spoofing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6873},
}

@inproceedings{cvpr2016_learning_11652,
  title = {{Learning Attributes Equals Multi-Source Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_learning_15770,
  title = {{Learning Meta Face Recognition in Unseen Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2021_domain_462,
  title = {{Domain General Face Forgery Detection by Learning to Weight}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02638-domain-general-face-forgery-detection-by-learning-to-weight/},
}

@inproceedings{cvpr2021_open_17543,
  title = {{Open Domain Generalization with Domain-Augmented Meta-Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_style_19945,
  title = {{Style Neophile: Constantly Seeking Novel Styles for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_rethinking_22043,
  title = {{Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22436},
}

@inproceedings{aaai2022_puregaze_2598,
  title = {{PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00436-puregaze-purifying-gaze-feature-for-generalizable-gaze-estimation/},
}

@inproceedings{iclr2019_learning_29140,
  title = {{Learning Robust Representations by Projecting Superficial Statistics Out}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/793},
}

@inproceedings{cvpr2022_revisiting_19737,
  title = {{Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_focus_15559,
  title = {{Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_cfpl_22908,
  title = {{CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30953},
}

@inproceedings{aaai2022_dirl_1913,
  title = {{DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02884-dirl-domain-invariant-representation-learning-for-generalizable-semantic-segmentation/},
}

@inproceedings{cvpr2023_progressive_21927,
  title = {{Progressive Random Convolutions for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23135},
}

@inproceedings{cvpr2023_multi_21618,
  title = {{Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22853},
}

@inproceedings{cvpr2022_meta_19333,
  title = {{Meta Convolutional Neural Networks for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_unsupervised_20141,
  title = {{Unsupervised Domain Generalization by Learning a Bridge Across Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_compact_13950,
  title = {{Compact Feature Learning for Multi-Domain Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_domain_20835,
  title = {{Domain Generalized Stereo Matching via Hierarchical Visual Transformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21530},
}

@inproceedings{cvpr2024_unknown_25147,
  title = {{Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30422},
}

@inproceedings{aaai2024_gaze_6106,
  title = {{Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28452},
}

@inproceedings{aaai2025_improving_9529,
  title = {{Improving Generalization for AI-Synthesized Voice Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34221},
}

@inproceedings{aaai2025_gaze_9306,
  title = {{Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33060},
}

@inproceedings{aaai2024_memory_6624,
  title = {{Memory-Efficient Prompt Tuning for Incremental Histopathology Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28615},
}

@inproceedings{aaai2025_dgfamba_8606,
  title = {{DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32181},
}

@inproceedings{neurips2025_towards_75794,
  title = {{Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=C5e4TGdCJ3},
}

@inproceedings{aaai2026_causal_105558,
  title = {{Causal Decoupling Domain Generalization for Remote Sensing Change Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38314},
}

@inproceedings{cvpr2025_tarot_27806,
  title = {{TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34939},
}

@inproceedings{icml2025_when_47011,
  title = {{When and How Does CLIP Enable Domain and Compositional Generalization?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45573},
}

@inproceedings{iclr2025_hilo_80639,
  title = {{HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/31128},
}

@inproceedings{iclr2026_elvis_85053,
  title = {{ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=9nphGvSatt},
}

@inproceedings{iclr2026_heegnet_85260,
  title = {{HEEGNet: Hyperbolic Embeddings for EEG}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=CNDNRjpVIL},
}

@inproceedings{neurips2026_the_91870,
  title = {{The Shape of Events: Edge-Based Inductive Biases via Cross-Domain Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/148705},
}

@inproceedings{aaai2026_channel_104132,
  title = {{Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37661},
}

@inproceedings{aaai2026_energy_107202,
  title = {{Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39554},
}

@inproceedings{cvpr2026_towards_96527,
  title = {{Towards Generalized Representations for Low-Light Understanding: When Signal Constancy Meets Semantic Enrichment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_Towards_Generalized_Representations_for_Low-Light_Understanding_When_Signal_Constancy_Meets_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_through_98639,
  title = {{Through the Frequency Lens: Cross-Domain Generalisable Gaze Estimation with Adaptive Modulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Xu_Through_the_Frequency_Lens_Cross-Domain_Generalisable_Gaze_Estimation_with_Adaptive_CVPR_2026_paper.html},
}