合成数据论文趋势 2023–2026

主要结论

• 合成数据论文从 2023 年的 54 篇降到 2026 年的 50 篇，热度在回落。
• NeurIPS 是发合成数据论文最多的会议，2023–2026 年共 64 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是强化学习：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 7 篇。
• 在「联邦与隐私」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的安全聚合是 1.8 倍，合成数据是 0.9 倍。

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

• NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
• ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
• ICLR 2026Synthetic Bootstrapped Pretraining
• CVPR 2026UnReflectAnything RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
• NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
• ICML 2025Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
• ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
• CVPR 2025Synthetic Visual Genome
• NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
• ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
• ICLR 2024Differentially Private Synthetic Data via Foundation Model APIs 1: Images
• CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
• NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
• ICML 2023Data Structures for Density Estimation
• ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
• CVPR 20233D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
• NeurIPS 2026StereoPep: Do Molecular Models Understand Stereochemistry? A Benchmark on Synthetic Diastereomeric Peptides
• ICML 2026FedUSD: Unbiased Synthetic Data for Federated Learning
• ICLR 2026High-dimensional Analysis of Synthetic Data Selection
• CVPR 2026AHS Adaptive Head Synthesis via Synthetic Data Augmentations

全部合成数据论文

共 32 篇，第 1 / 1 页

1. CVPR 20253D Dental Model Segmentation with Geometrical Boundary Preserving
2. CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
3. CVPR 2025Be More Specific: Evaluating Object-centric Realism in Synthetic Images
4. CVPR 2025GASP: Gaussian Avatars with Synthetic Priors
5. CVPR 2025GazeGene: Large-scale Synthetic Gaze Dataset with 3D Eyeball Annotations
6. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
7. CVPR 2025Synthetic Visual Genome
8. CVPR 2025SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
9. ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
10. ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
11. ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
12. ICLR 2025HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
13. ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
14. ICLR 2025Strong Model Collapse
15. ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
16. ICML 2025AutoEval Done Right: Using Synthetic Data for Model Evaluation
17. ICML 2025How to Synthesize Text Data without Model Collapse?
18. ICML 2025Idiosyncrasies in Large Language Models
19. ICML 2025Measuring Diversity in Synthetic Datasets
20. ICML 2025OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
21. ICML 2025Privacy Amplification Through Synthetic Data: Insights from Linear Regression
22. ICML 2025Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
23. ICML 2025The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
24. ICML 2025Unlocking Post-hoc Dataset Inference with Synthetic Data
25. NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
26. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
27. NeurIPS 2025LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
28. NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
29. NeurIPS 2025Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
30. NeurIPS 2025Private Evolution Converges
31. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
32. NeurIPS 2025Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions

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。