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 41 篇，第 1 / 1 页

1. CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
2. CVPR 2024Design2Cloth: 3D Cloth Generation from 2D Masks
3. CVPR 2024DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models
4. CVPR 2024EgoGen: An Egocentric Synthetic Data Generator
5. CVPR 2024FairRAG: Fair Human Generation via Fair Retrieval Augmentation
6. CVPR 2024Learning from Synthetic Human Group Activities
7. CVPR 2024SemCity: Semantic Scene Generation with Triplane Diffusion
8. CVPR 2024WinSyn: : A High Resolution Testbed for Synthetic Data
9. ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
10. ICLR 2024Achieving Human Parity in Content-Grounded Datasets Generation
11. ICLR 2024Diffusion-TS: Interpretable Diffusion for General Time Series Generation
12. ICLR 2024How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
13. ICLR 2024LLM-Assisted Code Cleaning For Training Accurate Code Generators
14. ICLR 2024Teaching Language Models to Hallucinate Less with Synthetic Tasks
15. ICML 2024CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources
16. ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
17. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
18. ICML 2024CuTS: Customizable Tabular Synthetic Data Generation
19. ICML 2024Differentially Private Sum-Product Networks
20. ICML 2024Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification
21. ICML 2024Magicoder: Empowering Code Generation with OSS-Instruct
22. ICML 2024MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
23. ICML 2024Sharpness-Aware Data Generation for Zero-shot Quantization
24. NeurIPS 2024$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
25. NeurIPS 2024A Label is Worth A Thousand Images in Dataset Distillation
26. NeurIPS 2024CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
27. NeurIPS 2024Dealing with Synthetic Data Contamination in Online Continual Learning
28. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
29. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
30. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
31. NeurIPS 2024FairWire: Fair Graph Generation
32. NeurIPS 2024HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
33. NeurIPS 2024High Rank Path Development: an approach to learning the filtration of stochastic processes
34. NeurIPS 2024Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
35. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
36. NeurIPS 2024Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
37. NeurIPS 2024SimGen: Simulator-conditioned Driving Scene Generation
38. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
39. NeurIPS 2024Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
40. NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
41. NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

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。