% Key papers for Bi-level differentiable NAS (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2019_regularized_101690,
  title = {{Regularized Evolution for Image Classifier Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4405},
}

@inproceedings{icml2018_understanding_37067,
  title = {{Understanding and Simplifying One-Shot Architecture Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2077},
}

@inproceedings{iclr2019_snas_29226,
  title = {{SNAS: stochastic neural architecture search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/700},
}

@inproceedings{aaai2021_bananas_178,
  title = {{BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10293-bananas-bayesian-optimization-with-neural-architectures-for-neural-architecture-search/},
}

@inproceedings{cvpr2021_lighttrack_17351,
  title = {{LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{icml2019_the_37792,
  title = {{The Evolved Transformer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4285},
}

@inproceedings{cvpr2019_renas_14691,
  title = {{RENAS: Reinforced Evolutionary Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_milenas_15887,
  title = {{MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_can_15234,
  title = {{Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_b_20244,
  title = {{b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_adversarialnas_15134,
  title = {{AdversarialNAS: Adversarial Neural Architecture Search for GANs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2020_stabilizing_38783,
  title = {{Stabilizing Differentiable Architecture Search via Perturbation-based Regularization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6607},
}

@inproceedings{cvpr2020_mtl_15866,
  title = {{MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_memory_15879,
  title = {{Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2019_tapas_101588,
  title = {{TAPAS: Train-Less Accuracy Predictor for Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4282},
}

@inproceedings{cvpr2022_shapley_19867,
  title = {{Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_training_20075,
  title = {{Training-Free Transformer Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_neural_17483,
  title = {{Neural Architecture Search With Random Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_mufasa_961,
  title = {{MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10532-mufasa-multimodal-fusion-architecture-search-for-electronic-health-records/},
}

@inproceedings{icml2020_generative_38253,
  title = {{Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6508},
}

@inproceedings{aaai2024_dc_5551,
  title = {{DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29281},
}

@inproceedings{aaai2024_is_6256,
  title = {{IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29128},
}

@inproceedings{aaai2024_auto_5228,
  title = {{Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29511},
}

@inproceedings{aaai2025_design_8698,
  title = {{Design Principle Transfer in Neural Architecture Search via Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34463},
}

@inproceedings{neurips2024_customized_73046,
  title = {{Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94377},
}

@inproceedings{cvpr2024_boosting_22868,
  title = {{Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31615},
}

@inproceedings{neurips2024_ce_74333,
  title = {{CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93227},
}

@inproceedings{iclr2025_multi_81101,
  title = {{Multi-objective Differentiable Neural Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30667},
}

@inproceedings{iclr2024_a_34064,
  title = {{A Benchmark Study on Calibration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19011},
}

@inproceedings{icml2024_differentiable_44811,
  title = {{Differentiable Model Scaling using Differentiable Topk}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33641},
}

@inproceedings{neurips2024_vision_70260,
  title = {{Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96829},
}

@inproceedings{iclr2024_neural_34492,
  title = {{Neural Fine-Tuning Search for Few-Shot Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18582},
}

@inproceedings{iclr2024_aux_34772,
  title = {{Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18302},
}

@inproceedings{icml2026_ptnas_49510,
  title = {{pTNAS: Progressive Neural Architecture Search for Tabular Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=3ADqf6jn9r},
}

@inproceedings{neurips2024_mote_73510,
  title = {{MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93966},
}

@inproceedings{iclr2025_star_81571,
  title = {{STAR: Synthesis of Tailored Architectures}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30205},
}

@inproceedings{iclr2026_composer_88367,
  title = {{Composer: A Search Framework for Hybrid Neural Architecture Design}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=m00gjQfpCc},
}

@inproceedings{neurips2026_self_93670,
  title = {{Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153076},
}

@inproceedings{neurips2026_structuring_93997,
  title = {{Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151464},
}

@inproceedings{neurips2026_simple_95013,
  title = {{Simple Baselines are Competitive with Code Evolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149355},
}