合成数据生成论文趋势 2023–2026

主要结论

• 合成数据生成论文从 2023 年的 72 篇增长到 2026 年的 96 篇，三年间扩大到约 1.3 倍。
• NeurIPS 是发合成数据生成论文最多的会议，2023–2026 年共 114 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 6 篇增至 2026 年的 20 篇。
• 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的弱监督是 1.3 倍，合成数据生成是 1.3 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 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
• ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
• ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
• CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
• NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
• ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
• ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
• CVPR 2025Synthetic Visual Genome
• NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
• ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
• ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
• CVPR 2024Learning from Synthetic Human Group Activities
• NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
• ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
• ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
• CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
• NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
• ICML 2026Counterfactual Residual Data Augmentation for Regression
• ICLR 2026Making, Not Taking, the Best of N
• CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches

全部合成数据生成论文

共 52 篇，第 1 / 2 页

1. ICML 2026$\texttt{FHAIM}$: Fully Homomorphic AIM for Private Tabular Synthetic Data Generation
2. ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
3. ICML 2026AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
4. ICML 2026Configurable Reward Model for Balanced Safety Alignment
5. ICML 2026Counterfactual Residual Data Augmentation for Regression
6. ICML 2026Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
7. ICML 2026Efficient Synthetic Network Generation via Latent Embedding Reconstruction
8. ICML 2026EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
9. ICML 2026FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
10. ICML 2026Hierarchical Abstract Tree for Cross-Document Retrieval Augmented Generation
11. ICML 2026Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
12. ICML 2026Identifying Learnwares via Reduced Neural Conditional Mean Embedding
13. ICML 2026Is Generation Required for Data-Efficient Perception?
14. ICML 2026Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
15. ICML 2026OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
16. ICML 2026Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
17. ICML 2026Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
18. ICML 2026Relational In-Context Learning via Synthetic Pre-training with Structural Prior
19. ICML 2026ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
20. ICML 2026SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
21. ICML 2026VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
22. ICML 2025BAnG: Bidirectional Anchored Generation for Conditional RNA Design
23. ICML 2025BOOD: Boundary-based Out-Of-Distribution Data Generation
24. ICML 2025Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
25. ICML 2025Learning-Order Autoregressive Models with Application to Molecular Graph Generation
26. ICML 2025Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
27. ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
28. ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
29. ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
30. ICML 2025TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data
31. ICML 2024CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
32. ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
33. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
34. ICML 2024CuTS: Customizable Tabular Synthetic Data Generation
35. ICML 2024Differentially Private Sum-Product Networks
36. ICML 2024Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
37. ICML 2024Magicoder: Empowering Code Generation with OSS-Instruct
38. ICML 2024MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
39. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
40. ICML 2023Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
41. ICML 2023Beam Tree Recursive Cells
42. ICML 2023Conformal Prediction with Missing Values
43. ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
44. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
45. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
46. ICML 2023Improving Graph Generation by Restricting Graph Bandwidth
47. ICML 2023OpenFE: Automated Feature Generation with Expert-level Performance
48. ICML 2023Scalable Adaptive Computation for Iterative Generation
49. ICML 2023Synthetic data for model selection
50. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data

常见问题

2023–2026 年四大会议一共有多少篇合成数据生成论文？

共 277 篇，按年份分别是 2023 年 72 篇、2024 年 41 篇、2025 年 68 篇、2026 年 96 篇。

NeurIPS 2026 有多少篇合成数据生成论文？

NeurIPS 2026 有 24 篇合成数据生成论文，上一届是 27 篇。

ICLR 2026 有多少篇合成数据生成论文？

ICLR 2026 有 26 篇合成数据生成论文，上一届是 18 篇。

ICML 2026 有多少篇合成数据生成论文？

ICML 2026 有 21 篇合成数据生成论文，上一届是 9 篇。

CVPR 2026 有多少篇合成数据生成论文？

CVPR 2026 有 25 篇合成数据生成论文，上一届是 14 篇。

哪个会议的合成数据生成论文最多？

NeurIPS，2023–2026 年共 114 篇。