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

@inproceedings{cvpr2017_expert_12251,
  title = {{Expert Gate: Lifelong Learning With a Network of Experts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2024_multi_24211,
  title = {{Multi-Task Dense Prediction via Mixture of Low-Rank Experts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29418},
}

@inproceedings{cvpr2025_spmtrack_27543,
  title = {{SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34245},
}

@inproceedings{cvpr2025_how_26531,
  title = {{How to Merge Your Multimodal Models Over Time?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33387},
}

@inproceedings{icml2024_merging_45323,
  title = {{Merging Multi-Task Models via Weight-Ensembling Mixture of Experts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33129},
}

@inproceedings{neurips2024_transforming_72468,
  title = {{Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94890},
}

@inproceedings{aaai2026_d2mora_107816,
  title = {{D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40168},
}

@inproceedings{neurips2025_flylora_79233,
  title = {{FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nGQLYn13Xf},
}

@inproceedings{icml2025_replora_47378,
  title = {{RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45214},
}

@inproceedings{icml2025_a_49117,
  title = {{A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43508},
}

@inproceedings{icml2026_neural_50101,
  title = {{Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=92oF5bU4cU},
}

@inproceedings{icml2026_parameters_50695,
  title = {{Parameters as Experts: Adapting Vision Models with Dynamic Parameter Routing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=EukKoqZhvW},
}

@inproceedings{icml2026_lime_51273,
  title = {{LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=KRSZj8z5Lr},
}

@inproceedings{icml2026_neurips_53553,
  title = {{NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gXTtBRI1yj},
}

@inproceedings{neurips2025_neuript_75875,
  title = {{NeurIPT: Foundation Model for Neural Interfaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=D4hcJPkJ3y},
}

@inproceedings{neurips2025_moore_78572,
  title = {{MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=g42mGfR6We},
}

@inproceedings{iclr2026_lora_85610,
  title = {{LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=GMP1S4R6Ke},
}

@inproceedings{icml2026_aco_49248,
  title = {{ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized Domains}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0YKTO2A04S},
}