% Key papers for Efficient ViT adaptation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2022_adaptformer_64203,
  title = {{AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54295},
}

@inproceedings{cvpr2022_pushing_19638,
  title = {{Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_fact_3643,
  title = {{FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25187},
}

@inproceedings{aaai2023_parameter_4346,
  title = {{Parameter-Efficient Model Adaptation for Vision Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25160},
}

@inproceedings{aaai2024_vmt_7746,
  title = {{VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29541},
}

@inproceedings{cvpr2022_fine_18861,
  title = {{Fine-Tuning Image Transformers Using Learnable Memory}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_tinymim_22349,
  title = {{TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22042},
}

@inproceedings{cvpr2023_blackvip_20485,
  title = {{BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21475},
}

@inproceedings{cvpr2023_visual_22544,
  title = {{Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21223},
}

@inproceedings{cvpr2024_zero_25313,
  title = {{Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31840},
}

@inproceedings{cvpr2023_master_21545,
  title = {{Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21642},
}

@inproceedings{aaai2024_lion_6401,
  title = {{LION: Implicit Vision Prompt Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28345},
}

@inproceedings{cvpr2023_visual_22535,
  title = {{Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22854},
}

@inproceedings{aaai2024_dtl_5580,
  title = {{DTL: Disentangled Transfer Learning for Visual Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29096},
}

@inproceedings{neurips2022_learning_65482,
  title = {{Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54674},
}

@inproceedings{cvpr2024_low_24037,
  title = {{Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29674},
}

@inproceedings{aaai2023_compressing_3298,
  title = {{Compressing Transformers: Features Are Low-Rank, but Weights Are Not!}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26304},
}

@inproceedings{cvpr2024_adapters_22720,
  title = {{Adapters Strike Back}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31633},
}

@inproceedings{iclr2019_efficient_28856,
  title = {{Efficient Augmentation via Data Subsampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1118},
}

@inproceedings{iclr2022_metamorph_31226,
  title = {{MetaMorph: Learning Universal Controllers with Transformers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6939},
}

@inproceedings{cvpr2025_tinyfusion_27878,
  title = {{TinyFusion: Diffusion Transformers Learned Shallow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33093},
}

@inproceedings{neurips2024_dynamic_73128,
  title = {{Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94302},
}

@inproceedings{cvpr2025_tadformer_27800,
  title = {{TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34594},
}

@inproceedings{neurips2024_efficient_71013,
  title = {{Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96194},
}

@inproceedings{aaai2026_small_104353,
  title = {{Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37880},
}

@inproceedings{cvpr2025_charm_25695,
  title = {{Charm: The Missing Piece in ViT Fine-Tuning for Image Aesthetic Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34423},
}

@inproceedings{cvpr2025_ditask_25927,
  title = {{DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33308},
}

@inproceedings{icml2024_trainable_44084,
  title = {{Trainable Transformer in Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34368},
}

@inproceedings{aaai2024_transformer_7640,
  title = {{Transformer as Linear Expansion of Learngene}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29533},
}

@inproceedings{iclr2024_dynamic_34798,
  title = {{Dynamic Layer Tying for Parameter-Efficient Transformers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18276},
}

@inproceedings{iclr2024_lum_35591,
  title = {{LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17482},
}

@inproceedings{neurips2024_initializing_70697,
  title = {{Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96427},
}

@inproceedings{neurips2024_localizing_72132,
  title = {{Localizing Memorization in SSL Vision Encoders}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95201},
}

@inproceedings{neurips2024_learning_72443,
  title = {{Learning Where to Edit Vision Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94914},
}