% Key papers for Post-training quantization of ViTs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_bi3d_15195,
  title = {{Bi3D: Stereo Depth Estimation via Binary Classifications}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_pd_21804,
  title = {{PD-Quant: Post-Training Quantization Based on Prediction Difference Metric}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23102},
}

@inproceedings{cvpr2023_noisyquant_21713,
  title = {{NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21385},
}

@inproceedings{iclr2022_qdrop_31853,
  title = {{QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/5893},
}

@inproceedings{cvpr2022_quantization_19647,
  title = {{Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_make_6597,
  title = {{Make RepVGG Greater Again: A Quantization-Aware Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29045},
}

@inproceedings{cvpr2024_instance_23811,
  title = {{Instance-Aware Group Quantization for Vision Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30979},
}

@inproceedings{cvpr2023_nvtc_21648,
  title = {{NVTC: Nonlinear Vector Transform Coding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21083},
}

@inproceedings{neurips2020_position_60593,
  title = {{Position-based Scaled Gradient for Model Quantization and Pruning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17085},
}

@inproceedings{aaai2025_gradq_9354,
  title = {{GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33759},
}

@inproceedings{cvpr2023_solving_22231,
  title = {{Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21689},
}

@inproceedings{iclr2024_finite_33758,
  title = {{Finite Scalar Quantization: VQ-VAE Made Simple}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19317},
}

@inproceedings{cvpr2023_abcd_20313,
  title = {{ABCD: Arbitrary Bitwise Coefficient for De-Quantization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22138},
}

@inproceedings{cvpr2024_adabm_22715,
  title = {{AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31488},
}

@inproceedings{icml2022_optimal_40964,
  title = {{Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16437},
}

@inproceedings{cvpr2022_channel_18452,
  title = {{Channel Balancing for Accurate Quantization of Winograd Convolutions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2024_ptq4dit_71855,
  title = {{PTQ4DiT: Post-training Quantization for Diffusion Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95445},
}

@inproceedings{aaai2025_vq4dit_11220,
  title = {{VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33782},
}

@inproceedings{cvpr2025_aphq_25402,
  title = {{APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33384},
}

@inproceedings{icml2023_oscillation_41849,
  title = {{Oscillation-free Quantization for Low-bit Vision Transformers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25166},
}

@inproceedings{aaai2025_aiqvit_7974,
  title = {{AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33939},
}

@inproceedings{cvpr2025_fima_26212,
  title = {{FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34236},
}

@inproceedings{cvpr2025_quartdepth_27340,
  title = {{QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35224},
}

@inproceedings{aaai2025_mimiq_9951,
  title = {{MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33761},
}

@inproceedings{iclr2024_efficientdm_34553,
  title = {{EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18521},
}

@inproceedings{aaai2026_lampq_101188,
  title = {{LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37489},
}

@inproceedings{neurips2024_towards_70627,
  title = {{Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96493},
}

@inproceedings{neurips2025_gplq_75177,
  title = {{GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=58Vr1KOWG9},
}

@inproceedings{neurips2025_paroattention_77489,
  title = {{PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=UPELg2oUo3},
}

@inproceedings{cvpr2025_pioneering_27257,
  title = {{Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34497},
}

@inproceedings{icml2024_jetfire_45259,
  title = {{Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33193},
}

@inproceedings{aaai2025_qua2sedimo_10414,
  title = {{Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32658},
}