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

@inproceedings{cvpr2020_cars_15221,
  title = {{CARS: Continuous Evolution for Efficient Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2019_nas_37562,
  title = {{NAS-Bench-101: Towards Reproducible Neural Architecture Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4009},
}

@inproceedings{cvpr2020_sgas_16162,
  title = {{SGAS: Sequential Greedy Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_block_15204,
  title = {{Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_evaluating_29431,
  title = {{Evaluating The Search Phase of Neural Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=H1loF2NFwr},
}

@inproceedings{cvpr2020_meta_15883,
  title = {{Meta-Learning of Neural Architectures for Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_dsnas_15335,
  title = {{DSNAS: Direct Neural Architecture Search Without Parameter Retraining}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_econas_15457,
  title = {{EcoNAS: Finding Proxies for Economical Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_nas_29555,
  title = {{NAS evaluation is frustratingly hard}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HygrdpVKvr},
}

@inproceedings{iclr2019_graph_29182,
  title = {{Graph HyperNetworks for Neural Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/740},
}

@inproceedings{cvpr2021_fbnetv3_16989,
  title = {{FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_brp_59422,
  title = {{BRP-NAS: Prediction-based NAS using GCNs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17634},
}

@inproceedings{aaai2020_efficient_102281,
  title = {{Efficient Neural Architecture Search via Proximal Iterations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6143},
}

@inproceedings{cvpr2021_attentivenas_16612,
  title = {{AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_renas_17705,
  title = {{ReNAS: Relativistic Evaluation of Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_improving_15682,
  title = {{Improving One-Shot NAS by Suppressing the Posterior Fading}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_nas_29487,
  title = {{NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJxyZkBKDr},
}

@inproceedings{cvpr2021_contrastive_16751,
  title = {{Contrastive Neural Architecture Search With Neural Architecture Comparators}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_bridging_59488,
  title = {{Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17767},
}

@inproceedings{cvpr2020_gp_15584,
  title = {{GP-NAS: Gaussian Process Based Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2025_efficient_8905,
  title = {{Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34174},
}

@inproceedings{cvpr2025_training_27946,
  title = {{Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34586},
}

@inproceedings{icml2024_encodings_45000,
  title = {{Encodings for Prediction-based Neural Architecture Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33452},
}

@inproceedings{neurips2025_per_79174,
  title = {{Per-Architecture Training-Free Metric Optimization for Neural Architecture Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=mVh0lIsdUl},
}

@inproceedings{cvpr2024_insights_23807,
  title = {{Insights from the Use of Previously Unseen Neural Architecture Search Datasets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29726},
}

@inproceedings{iclr2024_robustifying_35341,
  title = {{Robustifying and Boosting Training-Free Neural Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17732},
}

@inproceedings{neurips2024_einspace_74045,
  title = {{einspace: Searching for Neural Architectures from Fundamental Operations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93480},
}

@inproceedings{neurips2025_tf_75502,
  title = {{TF-MAS: Training-free Mamba2 Architecture Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=8q2kReYRDn},
}

@inproceedings{iclr2025_near_82562,
  title = {{NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29235},
}

@inproceedings{iclr2026_constraint_87802,
  title = {{Constraint-guided Hardware-aware NAS through Gradient Modification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=fcKMFIiNFQ},
}

@inproceedings{cvpr2026_hypernas_95833,
  title = {{HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lv_HyperNAS_Enhancing_Architecture_Representation_for_NAS_Predictor_via_Hypernetwork_CVPR_2026_paper.html},
}

@inproceedings{icml2024_towards_44546,
  title = {{Towards Neural Architecture Search through Hierarchical Generative Modeling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33906},
}

@inproceedings{cvpr2026_vision_96306,
  title = {{Vision-Oriented Lightweight Neural Architecture Search with Budget-Adaptive Evaluation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Fan_Vision-Oriented_Lightweight_Neural_Architecture_Search_with_Budget-Adaptive_Evaluation_CVPR_2026_paper.html},
}