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 64 篇，第 1 / 2 页

1. NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
2. NeurIPS 2026Breaking the Synthesis Barrier for AI-Designed DNA Libraries
3. NeurIPS 2026Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
4. NeurIPS 2026Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
5. NeurIPS 2026It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
6. NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
7. NeurIPS 2026Load Balancing Mixture of Experts with Similarity Preserving Routers
8. NeurIPS 2026Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models
9. NeurIPS 2026Optimal Real-Data Allocation for Synthetic-Data-Augmented Inference
10. NeurIPS 2026Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
11. NeurIPS 2026Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
12. NeurIPS 2026Privacy Amplification Persists under Unlimited Synthetic Data Release
13. NeurIPS 2026Quest: Training Frontier Deep Research Agents with Fully Synthetic Tasks
14. NeurIPS 2026SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
15. NeurIPS 2026StereoPep: Do Molecular Models Understand Stereochemistry? A Benchmark on Synthetic Diastereomeric Peptides
16. NeurIPS 2026Synthetic Anchor-Assisted Prototype Alignment for Heterogeneous Federated Learning
17. NeurIPS 2026Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
18. NeurIPS 2026Targeted Synthetic Control Method
19. NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
20. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
21. NeurIPS 2025LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
22. NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
23. NeurIPS 2025Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
24. NeurIPS 2025Private Evolution Converges
25. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
26. NeurIPS 2025Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
27. NeurIPS 2024$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
28. NeurIPS 2024A Synthetic Dataset for Personal Attribute Inference
29. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
30. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
31. NeurIPS 2024Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
32. NeurIPS 2024HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
33. NeurIPS 2024InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
34. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
35. NeurIPS 2024One-shot Federated Learning via Synthetic Distiller-Distillate Communication
36. NeurIPS 2024SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset
37. NeurIPS 2024The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
38. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
39. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
40. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
41. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
42. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
43. NeurIPS 2023Bounding training data reconstruction in DP-SGD
44. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
45. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
46. NeurIPS 2023Data Minimization at Inference Time
47. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
48. NeurIPS 2023Detecting hidden confounding in observational data using multiple environments
49. NeurIPS 2023Differentially Private Approximate Near Neighbor Counting in High Dimensions
50. NeurIPS 2023Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation

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。