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

@inproceedings{cvpr2022_learning_19225,
  title = {{Learning To Prompt for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_coda_20549,
  title = {{CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22655},
}

@inproceedings{neurips2022_s_65293,
  title = {{S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55432},
}

@inproceedings{cvpr2023_pivot_21813,
  title = {{PIVOT: Prompting for Video Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21792},
}

@inproceedings{aaai2024_unsupervised_7714,
  title = {{Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28153},
}

@inproceedings{cvpr2024_consistent_23017,
  title = {{Consistent Prompting for Rehearsal-Free Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30368},
}

@inproceedings{iclr2022_lfpt5_31090,
  title = {{LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6632},
}

@inproceedings{neurips2023_hierarchical_67113,
  title = {{Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72591},
}

@inproceedings{aaai2024_evolving_5885,
  title = {{Evolving Parameterized Prompt Memory for Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29231},
}

@inproceedings{cvpr2024_eclipse_23303,
  title = {{ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31354},
}

@inproceedings{aaai2024_learning_6509,
  title = {{Learning to Prompt Knowledge Transfer for Open-World Continual Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29275},
}

@inproceedings{iclr2023_progressive_32658,
  title = {{Progressive Prompts: Continual Learning for Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10917},
}

@inproceedings{neurips2024_visual_70782,
  title = {{Visual Prompt Tuning in Null Space for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96347},
}

@inproceedings{aaai2025_adaptive_8040,
  title = {{Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34616},
}

@inproceedings{cvpr2025_think_27868,
  title = {{Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33193},
}

@inproceedings{neurips2024_not_70266,
  title = {{Not Just Object, But State: Compositional Incremental Learning without Forgetting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96823},
}

@inproceedings{aaai2025_few_9186,
  title = {{Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33770},
}

@inproceedings{icml2024_one_44588,
  title = {{One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33864},
}

@inproceedings{neurips2021_towards_63559,
  title = {{Towards a robust experimental framework and benchmark for lifelong language learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=yJyIjWyPJgs},
}

@inproceedings{neurips2025_rep_77114,
  title = {{REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QjmRIgTcU8},
}

@inproceedings{neurips2025_c_79435,
  title = {{C\$^2\$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=pKqLOmF3Lf},
}

@inproceedings{aaai2025_caprompt_8336,
  title = {{CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34027},
}

@inproceedings{icml2025_componential_47252,
  title = {{Componential Prompt-Knowledge Alignment for Domain Incremental Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45337},
}

@inproceedings{iclr2024_prompt_33965,
  title = {{Prompt Gradient Projection for Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19110},
}

@inproceedings{neurips2024_vector_70927,
  title = {{Vector Quantization Prompting for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96275},
}

@inproceedings{iclr2025_vision_81087,
  title = {{Vision and Language Synergy for Rehearsal Free Continual Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30681},
}