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

@inproceedings{cvpr2018_low_13349,
  title = {{Low-Shot Learning With Imprinted Weights}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Qi_Low-Shot_Learning_With_CVPR_2018_paper.html},
}

@inproceedings{iclr2023_debertav3_33268,
  title = {{DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11295},
}

@inproceedings{cvpr2018_context_12921,
  title = {{Context-Aware Deep Feature Compression for High-Speed Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.html},
}

@inproceedings{iclr2020_comparing_29591,
  title = {{Comparing Rewinding and Fine-tuning in Neural Network Pruning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1gSj0NKvB},
}

@inproceedings{aaai2020_tanda_102972,
  title = {{TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6282},
}

@inproceedings{neurips2023_symbolic_69417,
  title = {{Symbolic Discovery of Optimization Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70492},
}

@inproceedings{cvpr2020_few_15541,
  title = {{Few Sample Knowledge Distillation for Efficient Network Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_the_16339,
  title = {{The Knowledge Within: Methods for Data-Free Model Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2019_superposition_59043,
  title = {{Superposition of many models into one}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14088},
}

@inproceedings{iclr2019_an_29150,
  title = {{An Empirical study of Binary Neural Networks' Optimisation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1067},
}

@inproceedings{neurips2020_tinytl_60978,
  title = {{TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18865},
}

@inproceedings{neurips2022_merging_64663,
  title = {{Merging Models with Fisher-Weighted Averaging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53741},
}

@inproceedings{neurips2024_better_70331,
  title = {{Better by default: Strong pre-tuned MLPs and boosted trees on tabular data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96765},
}

@inproceedings{aaai2025_tinysam_11008,
  title = {{TinySAM: Pushing the Envelope for Efficient Segment Anything Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34255},
}

@inproceedings{aaai2021_autolr_167,
  title = {{AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02486-autolr-layer-wise-pruning-and-auto-tuning-of-learning-rates-in-fine-tuning-of-deep-networks/},
}

@inproceedings{aaai2019_backbone_103515,
  title = {{Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4913},
}

@inproceedings{cvpr2024_ba_22804,
  title = {{BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30096},
}

@inproceedings{iclr2020_progressive_29337,
  title = {{Progressive Memory Banks for Incremental Domain Adaptation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BkepbpNFwr},
}

@inproceedings{cvpr2024_lors_23900,
  title = {{LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29215},
}

@inproceedings{aaai2024_hyperfast_6236,
  title = {{HyperFast: Instant Classification for Tabular Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28988},
}

@inproceedings{cvpr2025_task_27825,
  title = {{Task Singular Vectors: Reducing Task Interference in Model Merging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33315},
}

@inproceedings{cvpr2024_pela_24401,
  title = {{PELA: Learning Parameter-Efficient Models with Low-Rank Approximation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30829},
}

@inproceedings{iclr2024_relora_33932,
  title = {{ReLoRA: High-Rank Training Through Low-Rank Updates}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19143},
}

@inproceedings{aaai2025_callic_8332,
  title = {{CALLIC: Content Adaptive Learning for Lossless Image Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32494},
}

@inproceedings{neurips2025_revisiting_75303,
  title = {{Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=6cB7DXAh1m},
}

@inproceedings{aaai2024_some_7370,
  title = {{Some Like It Small: Czech Semantic Embedding Models for Industry Applications}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30307},
}

@inproceedings{cvpr2025_less_26771,
  title = {{Less is More: Efficient Model Merging with Binary Task Switch}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34651},
}

@inproceedings{neurips2024_fm_71194,
  title = {{FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96037},
}

@inproceedings{aaai2024_sharebert_7331,
  title = {{ShareBERT: Embeddings Are Capable of Learning Hidden Layers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29781},
}

@inproceedings{aaai2025_enhancing_8971,
  title = {{Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32334},
}

@inproceedings{iclr2024_fairtune_33838,
  title = {{FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19237},
}

@inproceedings{neurips2024_sltrain_71780,
  title = {{SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95512},
}

@inproceedings{neurips2025_robustmerge_77460,
  title = {{RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=U7RZ9cC73S},
}

@inproceedings{aaai2024_find_6013,
  title = {{Find the Lady: Permutation and Re-synchronization of Deep Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30091},
}

@inproceedings{aaai2025_singular_10774,
  title = {{Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33964},
}