合成数据生成论文趋势 2023–2026
数据增广
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 277 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 45 | 5 | 13 | 9 | 72 |
| 2024 | 18 | 6 | 9 | 8 | 41 |
| 2025 | 27 | 18 | 9 | 14 | 68 |
| 2026 | 24 | 26 | 21 | 25 | 96 |
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 21 篇，第 1 / 1 页
- ICML 2026$\texttt{FHAIM}$: Fully Homomorphic AIM for Private Tabular Synthetic Data Generation
- ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
- ICML 2026AugMask: Training Diffusion Models on Incomplete Tabular Data via Stochastic Augmentation and Masking
- ICML 2026Configurable Reward Model for Balanced Safety Alignment
- ICML 2026Counterfactual Residual Data Augmentation for Regression
- ICML 2026Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
- ICML 2026Efficient Synthetic Network Generation via Latent Embedding Reconstruction
- ICML 2026EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
- ICML 2026FedPDG: Prediction Discrepancy–Guided Data Generation for Heterogeneous Federated Learning
- ICML 2026Hierarchical Abstract Tree for Cross-Document Retrieval Augmented Generation
- ICML 2026Hybrid-Gym: Training Coding Agents to Generalize Across Tasks
- ICML 2026Identifying Learnwares via Reduced Neural Conditional Mean Embedding
- ICML 2026Is Generation Required for Data-Efficient Perception?
- ICML 2026Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
- ICML 2026OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
- ICML 2026Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
- ICML 2026Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
- ICML 2026Relational In-Context Learning via Synthetic Pre-training with Structural Prior
- ICML 2026ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
- ICML 2026SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis
- ICML 2026VividCam: Learning Unconventional Camera Motions from Virtual Synthetic Videos
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 查合成数据生成在 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-generation"}
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。