% Key papers for Low-rank and model-merging adaptation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2024_boosting_22861,
  title = {{Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31379},
}

@inproceedings{neurips2019_catastrophic_57979,
  title = {{Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13396},
}

@inproceedings{icml2019_learn_37471,
  title = {{Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3842},
}

@inproceedings{cvpr2024_inflora_23797,
  title = {{InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30348},
}

@inproceedings{neurips2021_achieving_62210,
  title = {{Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26503},
}

@inproceedings{neurips2023_ranpac_68652,
  title = {{RanPAC: Random Projections and Pre-trained Models for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71187},
}

@inproceedings{cvpr2024_convolutional_23045,
  title = {{Convolutional Prompting meets Language Models for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29809},
}

@inproceedings{cvpr2024_semantically_24800,
  title = {{Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29951},
}

@inproceedings{cvpr2025_self_27623,
  title = {{Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32576},
}

@inproceedings{cvpr2025_lora_26806,
  title = {{LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34314},
}

@inproceedings{cvpr2025_bilora_25583,
  title = {{BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32506},
}

@inproceedings{neurips2022_memory_65040,
  title = {{Memory Efficient Continual Learning with Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53460},
}

@inproceedings{neurips2023_parameterizing_67198,
  title = {{Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72516},
}

@inproceedings{neurips2024_mixture_73190,
  title = {{Mixture of Experts Meets Prompt-Based Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94243},
}

@inproceedings{cvpr2024_towards_25032,
  title = {{Towards Backward-Compatible Continual Learning of Image Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29471},
}

@inproceedings{icml2023_discrete_42082,
  title = {{Discrete Key-Value Bottleneck}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24621},
}

@inproceedings{neurips2024_safe_71090,
  title = {{SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96124},
}

@inproceedings{neurips2024_learn_72797,
  title = {{Learn more, but bother less: parameter efficient continual learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94599},
}

@inproceedings{cvpr2025_adadare_25431,
  title = {{AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33585},
}

@inproceedings{neurips2024_stabilizing_71049,
  title = {{Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96161},
}

@inproceedings{neurips2024_corda_71363,
  title = {{CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95886},
}

@inproceedings{neurips2025_mingle_75447,
  title = {{MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=8DCyv8x58O},
}

@inproceedings{neurips2025_continuous_78788,
  title = {{Continuous Subspace Optimization for Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=iLYV4iIC0c},
}

@inproceedings{aaai2026_lora_106775,
  title = {{LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39082},
}

@inproceedings{neurips2024_continual_70483,
  title = {{Continual Learning with Global Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96625},
}

@inproceedings{neurips2024_model_70992,
  title = {{Model Sensitivity Aware Continual Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96214},
}

@inproceedings{neurips2024_incremental_72181,
  title = {{Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95159},
}