% Key papers for Domain-incremental learning with memory (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_learn_19165,
  title = {{Learn From Others and Be Yourself in Heterogeneous Federated Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2018_life_57336,
  title = {{Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11937},
}

@inproceedings{cvpr2021_continual_16744,
  title = {{Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_gradient_678,
  title = {{Gradient Regularized Contrastive Learning for Continual Domain Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02665-gradient-regularized-contrastive-learning-for-continual-domain-adaptation/},
}

@inproceedings{cvpr2022_general_18915,
  title = {{General Incremental Learning With Domain-Aware Categorical Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_on_19501,
  title = {{On Generalizing Beyond Domains in Cross-Domain Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_multi_6688,
  title = {{Multi-Domain Incremental Learning for Face Presentation Attack Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28359},
}

@inproceedings{aaai2020_incremental_103581,
  title = {{Incremental Multi-Domain Learning with Network Latent Tensor Factorization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6617},
}

@inproceedings{aaai2021_multi_1015,
  title = {{Multi-Domain Multi-Task Rehearsal for Lifelong Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/08819-multi-domain-multi-task-rehearsal-for-lifelong-learning/},
}

@inproceedings{neurips2021_lifelong_63078,
  title = {{Lifelong Domain Adaptation via Consolidated Internal Distribution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28015},
}

@inproceedings{aaai2024_non_6786,
  title = {{Non-exemplar Domain Incremental Object Detection via Learning Domain Bias}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29427},
}

@inproceedings{aaai2024_mind_6582,
  title = {{MIND: Multi-Task Incremental Network Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28987},
}

@inproceedings{cvpr2023_unsupervised_22479,
  title = {{Unsupervised Continual Semantic Adaptation Through Neural Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22089},
}

@inproceedings{cvpr2020_sequential_16228,
  title = {{Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_principles_21910,
  title = {{Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21087},
}

@inproceedings{cvpr2025_dual_26015,
  title = {{Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33334},
}

@inproceedings{aaai2024_semantic_7303,
  title = {{Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28477},
}

@inproceedings{cvpr2018_deep_12965,
  title = {{Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Jamal_Deep_Face_Detector_CVPR_2018_paper.html},
}

@inproceedings{cvpr2025_boosting_25609,
  title = {{Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33144},
}

@inproceedings{neurips2023_a_67485,
  title = {{A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72249},
}

@inproceedings{aaai2024_hop_6182,
  title = {{HOP to the Next Tasks and Domains for Continual Learning in NLP}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29349},
}

@inproceedings{cvpr2025_protodepth_27323,
  title = {{ProtoDepth: Unsupervised Continual Depth Completion with Prototypes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34283},
}

@inproceedings{aaai2025_dualcp_8830,
  title = {{DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35418},
}

@inproceedings{neurips2024_continual_72629,
  title = {{Continual Learning in the Frequency Domain}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94751},
}

@inproceedings{neurips2024_advancing_72952,
  title = {{Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94460},
}

@inproceedings{aaai2024_domain_5745,
  title = {{Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27992},
}

@inproceedings{cvpr2025_adaptcmvc_25433,
  title = {{AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33769},
}

@inproceedings{aaai2024_simcs_7338,
  title = {{SimCS: Simulation for Domain Incremental Online Continual Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28952},
}

@inproceedings{neurips2024_dofit_71251,
  title = {{DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95992},
}

@inproceedings{aaai2025_fr_9116,
  title = {{FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32953},
}

@inproceedings{neurips2025_graphkeeper_75636,
  title = {{GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=AIlaBrwwJO},
}

@inproceedings{aaai2025_condo_8485,
  title = {{ConDo: Continual Domain Expansion for Absolute Pose Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33603},
}

@inproceedings{icml2024_gradual_43291,
  title = {{Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35161},
}

@inproceedings{icml2025_addressing_47997,
  title = {{Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44608},
}