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 169 篇，第 3 / 4 页

  1. ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
  2. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
  3. ICML 2024Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
  4. ICML 2024Privacy-Preserving Instructions for Aligning Large Language Models
  5. NeurIPS 2024$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
  6. NeurIPS 2024A Synthetic Dataset for Personal Attribute Inference
  7. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
  8. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
  9. NeurIPS 2024Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
  10. NeurIPS 2024HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
  11. NeurIPS 2024InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
  12. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
  13. NeurIPS 2024One-shot Federated Learning via Synthetic Distiller-Distillate Communication
  14. NeurIPS 2024SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset
  15. NeurIPS 2024The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
  16. CVPR 20233D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
  17. CVPR 2023ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
  18. CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
  19. CVPR 2023NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer
  20. CVPR 2023Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
  21. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
  22. CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
  23. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
  24. ICLR 2023Learning topology-preserving data representations
  25. ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
  26. ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
  27. ICLR 2023Trainability Preserving Neural Pruning
  28. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
  29. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
  30. ICML 2023Data Structures for Density Estimation
  31. ICML 2023Data-Derived Weak Universal Consistency
  32. ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
  33. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
  34. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
  35. ICML 2023Label differential privacy and private training data release
  36. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
  37. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
  38. ICML 2023Synthetic data for model selection
  39. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
  40. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
  41. ICML 2023The Value of Out-of-Distribution Data
  42. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
  43. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
  44. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
  45. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
  46. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
  47. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
  48. NeurIPS 2023Bounding training data reconstruction in DP-SGD
  49. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
  50. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

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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