合成数据论文趋势 2023–2026
隐私保护合成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 169 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 27 | 5 | 15 | 7 | 54 |
| 2024 | 11 | 3 | 8 | 11 | 33 |
| 2025 | 8 | 7 | 9 | 8 | 32 |
| 2026 | 18 | 4 | 14 | 14 | 50 |
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 15 篇，第 1 / 1 页
- ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
- ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
- ICML 2023Data Structures for Density Estimation
- ICML 2023Data-Derived Weak Universal Consistency
- ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
- ICML 2023Generating Private Synthetic Data with Genetic Algorithms
- ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
- ICML 2023Label differential privacy and private training data release
- ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
- ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
- ICML 2023Synthetic data for model selection
- ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
- ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
- ICML 2023The Value of Out-of-Distribution Data
- ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查合成数据在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "synthetic-data"}
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。