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 19 篇，第 1 / 1 页

1. ICLR 2026Achieving Expert-Level Agent from Foundation Model via Complexity Curriculum Reinforcement Learning with Synthetic Data
2. ICLR 2026Entropy-preserving reinforcement learning
3. ICLR 2026High-dimensional Analysis of Synthetic Data Selection
4. ICLR 2026Synthetic Bootstrapped Pretraining
5. ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
6. ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
7. ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
8. ICLR 2025HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
9. ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
10. ICLR 2025Strong Model Collapse
11. ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
12. ICLR 2024Differentially Private Synthetic Data via Foundation Model APIs 1: Images
13. ICLR 2024Pre-training with Synthetic Data Helps Offline Reinforcement Learning
14. ICLR 2024Teaching Language Models to Hallucinate Less with Synthetic Tasks
15. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
16. ICLR 2023Learning topology-preserving data representations
17. ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
18. ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
19. ICLR 2023Trainability Preserving Neural Pruning

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。