% Key papers for Synthetic training data from generators (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2019_improved_58402,
  title = {{Improved Precision and Recall Metric for Assessing Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13555},
}

@inproceedings{neurips2016_synthesizing_56031,
  title = {{Synthesizing the preferred inputs for neurons in neural networks via deep generator networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6926},
}

@inproceedings{cvpr2022_kubric_19134,
  title = {{Kubric: A Scalable Dataset Generator}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2017_deliberation_56250,
  title = {{Deliberation Networks: Sequence Generation Beyond One-Pass Decoding}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8968},
}

@inproceedings{iclr2023_incoder_32992,
  title = {{InCoder: A Generative Model for Code Infilling and Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11762},
}

@inproceedings{aaai2019_hierarchically_103467,
  title = {{Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4863},
}

@inproceedings{iclr2019_explaining_28735,
  title = {{Explaining Image Classifiers by Counterfactual Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1104},
}

@inproceedings{icml2016_one_35932,
  title = {{One-Shot Generalization in Deep Generative Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/rezende16.html},
}

@inproceedings{neurips2021_auto_63118,
  title = {{Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27571},
}

@inproceedings{cvpr2023_generalizing_21069,
  title = {{Generalizing Dataset Distillation via Deep Generative Prior}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22639},
}

@inproceedings{icml2020_reliable_38691,
  title = {{Reliable Fidelity and Diversity Metrics for Generative Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5832},
}

@inproceedings{cvpr2023_handwritten_21132,
  title = {{Handwritten Text Generation From Visual Archetypes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21288},
}

@inproceedings{neurips2020_compositional_59561,
  title = {{Compositional Visual Generation with Energy Based Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17827},
}

@inproceedings{aaai2018_compatibility_105730,
  title = {{Compatibility Family Learning for Item Recommendation and Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11839},
}

@inproceedings{cvpr2022_cycle_18560,
  title = {{Cycle-Consistent Counterfactuals by Latent Transformations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_characterizing_57991,
  title = {{Characterizing Bias in Classifiers using Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13673},
}

@inproceedings{aaai2022_fast_2092,
  title = {{Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/11495-fast-and-constrained-absent-keyphrase-generation-by-prompt-based-learning/},
}

@inproceedings{neurips2023_exposing_66535,
  title = {{Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73076},
}

@inproceedings{aaai2024_learning_6510,
  title = {{Learning to Rank in Generative Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28717},
}

@inproceedings{aaai2024_vq_7748,
  title = {{VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29577},
}

@inproceedings{cvpr2025_unseen_28025,
  title = {{Unseen Visual Anomaly Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35111},
}

@inproceedings{aaai2024_robustness_7187,
  title = {{Robustness-Guided Image Synthesis for Data-Free Quantization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28972},
}

@inproceedings{iclr2024_intriguing_35389,
  title = {{Intriguing Properties of Generative Classifiers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17684},
}

@inproceedings{aaai2024_poetrydiffusion_6956,
  title = {{PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29787},
}

@inproceedings{aaai2025_pvtree_10257,
  title = {{PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32726},
}

@inproceedings{cvpr2025_autopresent_25536,
  title = {{AutoPresent: Designing Structured Visuals from Scratch}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34329},
}

@inproceedings{cvpr2024_a_22668,
  title = {{A Unified and Interpretable Emotion Representation and Expression Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30459},
}

@inproceedings{aaai2024_quality_7038,
  title = {{Quality-Diversity Generative Sampling for Learning with Synthetic Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29955},
}

@inproceedings{cvpr2025_image_26586,
  title = {{Image Generation Diversity Issues and How to Tame Them}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33557},
}

@inproceedings{neurips2024_the_73226,
  title = {{The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94211},
}

@inproceedings{aaai2025_less_9768,
  title = {{Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31988},
}

@inproceedings{aaai2025_a_7915,
  title = {{A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35504},
}

@inproceedings{cvpr2025_hierarchical_26511,
  title = {{Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33007},
}

@inproceedings{neurips2024_bridging_74628,
  title = {{Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92964},
}

@inproceedings{aaai2024_collaborative_5418,
  title = {{Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29871},
}

@inproceedings{iclr2024_do_34456,
  title = {{Do Generated Data Always Help Contrastive Learning?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18618},
}

@inproceedings{neurips2024_transcendence_73147,
  title = {{Transcendence: Generative Models Can Outperform The Experts That Train Them}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94284},
}

@inproceedings{aaai2025_holistic_9451,
  title = {{Holistic Semantic Representation for Navigational Trajectory Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31978},
}