合成数据论文趋势 2023–2026

隐私保护合成

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 169 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

合成数据论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202327515754
202411381133
2025879832
2026184141450

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部合成数据论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 54 篇，第 1 / 2 页

  1. CVPR 20233D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
  2. CVPR 2023ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
  3. CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
  4. CVPR 2023NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer
  5. CVPR 2023Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
  6. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
  7. CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
  8. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
  9. ICLR 2023Learning topology-preserving data representations
  10. ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
  11. ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
  12. ICLR 2023Trainability Preserving Neural Pruning
  13. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
  14. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
  15. ICML 2023Data Structures for Density Estimation
  16. ICML 2023Data-Derived Weak Universal Consistency
  17. ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
  18. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
  19. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
  20. ICML 2023Label differential privacy and private training data release
  21. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
  22. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
  23. ICML 2023Synthetic data for model selection
  24. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
  25. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
  26. ICML 2023The Value of Out-of-Distribution Data
  27. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
  28. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
  29. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
  30. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
  31. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
  32. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
  33. NeurIPS 2023Bounding training data reconstruction in DP-SGD
  34. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
  35. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
  36. NeurIPS 2023Data Minimization at Inference Time
  37. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
  38. NeurIPS 2023Detecting hidden confounding in observational data using multiple environments
  39. NeurIPS 2023Differentially Private Approximate Near Neighbor Counting in High Dimensions
  40. NeurIPS 2023Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
  41. NeurIPS 2023Diverse Community Data for Benchmarking Data Privacy Algorithms
  42. NeurIPS 2023Generalization in the Face of Adaptivity: A Bayesian Perspective
  43. NeurIPS 2023GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
  44. NeurIPS 2023How to Data in Datathons
  45. NeurIPS 2023IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
  46. NeurIPS 2023On the Gini-impurity Preservation For Privacy Random Forests
  47. NeurIPS 2023Participatory Personalization in Classification
  48. NeurIPS 2023Post-processing Private Synthetic Data for Improving Utility on Selected Measures
  49. NeurIPS 2023Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
  50. NeurIPS 2023Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查合成数据在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "synthetic-data"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇合成数据论文？
共 169 篇，按年份分别是 2023 年 54 篇、2024 年 33 篇、2025 年 32 篇、2026 年 50 篇。
NeurIPS 2026 有多少篇合成数据论文？
NeurIPS 2026 有 18 篇合成数据论文，上一届是 8 篇。
ICLR 2026 有多少篇合成数据论文？
ICLR 2026 有 4 篇合成数据论文，上一届是 7 篇。
ICML 2026 有多少篇合成数据论文？
ICML 2026 有 14 篇合成数据论文，上一届是 9 篇。
CVPR 2026 有多少篇合成数据论文？
CVPR 2026 有 14 篇合成数据论文，上一届是 8 篇。
哪个会议的合成数据论文最多？
NeurIPS，2023–2026 年共 64 篇。

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