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

@inproceedings{cvpr2018_learning_13305,
  title = {{Learning Transferable Architectures for Scalable Image Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zoph_Learning_Transferable_Architectures_CVPR_2018_paper.html},
}

@inproceedings{iclr2017_neural_28345,
  title = {{Neural Architecture Search with Reinforcement Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=r1Ue8Hcxg},
}

@inproceedings{cvpr2019_mnasnet_14523,
  title = {{MnasNet: Platform-Aware Neural Architecture Search for Mobile}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_fbnet_14179,
  title = {{FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2018_efficient_36664,
  title = {{Efficient Neural Architecture Search via Parameters Sharing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2247},
}

@inproceedings{icml2021_efficientnetv2_39291,
  title = {{EfficientNetV2: Smaller Models and Faster Training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8849},
}

@inproceedings{cvpr2021_retinex_17757,
  title = {{Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_searching_14781,
  title = {{Searching for a Robust Neural Architecture in Four GPU Hours}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_searching_16189,
  title = {{Searching Central Difference Convolutional Networks for Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_practical_13485,
  title = {{Practical Block-Wise Neural Network Architecture Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhong_Practical_Block-Wise_Neural_CVPR_2018_paper.html},
}

@inproceedings{neurips2018_neural_57423,
  title = {{Neural Architecture Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11750},
}

@inproceedings{aaai2018_efficient_102442,
  title = {{Efficient Architecture Search by Network Transformation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11709},
}

@inproceedings{iclr2018_smash_28722,
  title = {{SMASH: One-Shot Model Architecture Search through HyperNetworks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/338},
}

@inproceedings{cvpr2019_chamnet_13931,
  title = {{ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2019_proxylessnas_28982,
  title = {{ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1029},
}

@inproceedings{neurips2020_mcunet_60276,
  title = {{MCUNet: Tiny Deep Learning on IoT Devices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17470},
}

@inproceedings{neurips2020_hierarchical_60001,
  title = {{Hierarchical Neural Architecture Search for Deep Stereo Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17668},
}

@inproceedings{iclr2018_hierarchical_28431,
  title = {{Hierarchical Representations for Efficient Architecture Search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/45},
}

@inproceedings{cvpr2020_apq_15099,
  title = {{APQ: Joint Search for Network Architecture, Pruning and Quantization Policy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_partial_14629,
  title = {{Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2024_hypergraph_6240,
  title = {{Hypergraph Neural Architecture Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29290},
}

@inproceedings{cvpr2024_building_22884,
  title = {{Building Optimal Neural Architectures using Interpretable Knowledge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30329},
}

@inproceedings{icml2024_integrated_45632,
  title = {{Integrated Hardware Architecture and Device Placement Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32820},
}

@inproceedings{icml2026_bioarc_50201,
  title = {{BIOARC: Discovering Optimal Neural Architectures for Biological Foundation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=9yts8LUZiA},
}

@inproceedings{neurips2025_jet_77690,
  title = {{Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=WZQXaTNYEB},
}

@inproceedings{iclr2026_adaptive_88627,
  title = {{Adaptive Width Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=p6Ek7Qg577},
}

@inproceedings{neurips2026_network_89806,
  title = {{Network of Theseus (Like the ship)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151706},
}

@inproceedings{icml2026_optimizing_54485,
  title = {{Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=pOF8lTXg3h},
}