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

@inproceedings{cvpr2019_autoaugment_13880,
  title = {{AutoAugment: Learning Augmentation Strategies From Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_removing_17735,
  title = {{Removing Raindrops and Rain Streaks in One Go}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_mfas_14490,
  title = {{MFAS: Multimodal Fusion Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_memory_12453,
  title = {{Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{icml2020_automl_37953,
  title = {{AutoML-Zero: Evolving Machine Learning Algorithms From Scratch}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5987},
}

@inproceedings{neurips2019_fast_58255,
  title = {{Fast AutoAugment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13774},
}

@inproceedings{cvpr2023_minimizing_21568,
  title = {{Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22526},
}

@inproceedings{cvpr2020_search_16188,
  title = {{Search to Distill: Pearls Are Everywhere but Not the Eyes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_organ_15998,
  title = {{Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2021_dataset_39199,
  title = {{Dataset Condensation with Differentiable Siamese Augmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8609},
}

@inproceedings{iclr2022_learning_31174,
  title = {{Learning Strides in Convolutional Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7068},
}

@inproceedings{neurips2018_transfer_57730,
  title = {{Transfer Learning with Neural AutoML}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11799},
}

@inproceedings{aaai2019_multi_101578,
  title = {{Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4272},
}

@inproceedings{neurips2020_improving_60061,
  title = {{Improving Auto-Augment via Augmentation-Wise Weight Sharing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17529},
}

@inproceedings{neurips2022_hypertree_64558,
  title = {{HyperTree Proof Search for Neural Theorem Proving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52860},
}

@inproceedings{aaai2024_saswot_7257,
  title = {{SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28606},
}

@inproceedings{cvpr2022_autoloss_18316,
  title = {{AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2022_autobert_1760,
  title = {{AutoBERT-Zero: Evolving BERT Backbone from Scratch}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10663-autobert-zero-evolving-bert-backbone-from-scratch/},
}

@inproceedings{cvpr2021_compatibility_16727,
  title = {{Compatibility-Aware Heterogeneous Visual Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2022_wisdom_31192,
  title = {{Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6397},
}

@inproceedings{neurips2024_search_73708,
  title = {{Search for Efficient Large Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93789},
}

@inproceedings{neurips2024_automated_73674,
  title = {{Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93818},
}

@inproceedings{aaai2026_denas_100445,
  title = {{DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37292},
}

@inproceedings{neurips2024_hw_74316,
  title = {{HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97460},
}

@inproceedings{neurips2025_lomix_75439,
  title = {{LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=87c2JwNJa0},
}

@inproceedings{neurips2025_hm3_76469,
  title = {{HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=JeP0lpusYw},
}

@inproceedings{aaai2026_mechaformer_106752,
  title = {{MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39059},
}

@inproceedings{aaai2025_atomnet_8163,
  title = {{AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33796},
}

@inproceedings{aaai2025_efficient_8908,
  title = {{Efficient Image Similarity Search with Quadtrees (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35324},
}

@inproceedings{iclr2026_relatron_84656,
  title = {{Relatron: Automating Relational Machine Learning over Relational Databases}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=59avbH4HnU},
}

@inproceedings{iclr2026_expressive_87698,
  title = {{Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=eQmoST3UMN},
}

@inproceedings{iclr2026_diverse_88216,
  title = {{DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=kQjSUHC84V},
}

@inproceedings{icml2024_seesaw_45162,
  title = {{Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33290},
}

@inproceedings{neurips2026_revisiting_95546,
  title = {{Revisiting Autoregressive GCNs for Vehicle Routing Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152174},
}