Synthetic Data Generation papers, 2023–2026

Key findings

• Synthetic Data Generation went from 72 papers in 2023 to 96 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Synthetic Data Generation work: 114 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 6 in 2023 to 20 in 2026.
• Among the 5 topics under Data-Centric AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Weak Supervision, is up 1.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Synthetic Data Generation papers

68 papers, page 1 of 2

1. CVPR 2025AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
2. CVPR 2025AKiRa: Augmentation Kit on Rays for Optical Video Generation
3. CVPR 2025Be More Specific: Evaluating Object-centric Realism in Synthetic Images
4. CVPR 2025Controllable Human Image Generation with Personalized Multi-Garments
5. CVPR 2025Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
6. CVPR 2025From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
7. CVPR 2025MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation
8. CVPR 2025Motion Modes: What Could Happen Next?
9. CVPR 2025MultiMorph: On-demand Atlas Construction
10. CVPR 2025S2D-LFE: Sparse-to-Dense Light Field Event Generation
11. CVPR 2025SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
12. CVPR 2025Synthetic Visual Genome
13. CVPR 2025SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
14. CVPR 2025Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
15. ICLR 2025API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
16. ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
17. ICLR 2025Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies
18. ICLR 2025Continuous Diffusion for Mixed-Type Tabular Data
19. ICLR 2025CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair
20. ICLR 2025CTSyn: A Foundation Model for Cross Tabular Data Generation
21. ICLR 2025DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
22. ICLR 2025DataGen: Unified Synthetic Dataset Generation via Large Language Models
23. ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
24. ICLR 2025Gaussian Mixture Counterfactual Generator
25. ICLR 2025MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI
26. ICLR 2025Personalized Representation from Personalized Generation
27. ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
28. ICLR 2025Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
29. ICLR 2025Synthetic continued pretraining
30. ICLR 2025The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
31. ICLR 2025Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
32. ICLR 2025Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors
33. ICML 2025BAnG: Bidirectional Anchored Generation for Conditional RNA Design
34. ICML 2025BOOD: Boundary-based Out-Of-Distribution Data Generation
35. ICML 2025Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
36. ICML 2025Learning-Order Autoregressive Models with Application to Molecular Graph Generation
37. ICML 2025Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
38. ICML 2025SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
39. ICML 2025Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
40. ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
41. ICML 2025TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data
42. NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
43. NeurIPS 2025Amortized Active Generation of Pareto Sets
44. NeurIPS 2025AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
45. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
46. NeurIPS 2025ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
47. NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
48. NeurIPS 2025Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
49. NeurIPS 2025FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
50. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation

FAQ

How many Synthetic Data Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

277 in total: 72 in 2023, 41 in 2024, 68 in 2025, 96 in 2026.

How many Synthetic Data Generation papers are at NeurIPS 2026?

NeurIPS 2026 has 24 Synthetic Data Generation papers, versus 27 the year before.

How many Synthetic Data Generation papers are at ICLR 2026?

ICLR 2026 has 26 Synthetic Data Generation papers, versus 18 the year before.

How many Synthetic Data Generation papers are at ICML 2026?

ICML 2026 has 21 Synthetic Data Generation papers, versus 9 the year before.

How many Synthetic Data Generation papers are at CVPR 2026?

CVPR 2026 has 25 Synthetic Data Generation papers, versus 14 the year before.

Which conference publishes the most Synthetic Data Generation papers?

NeurIPS, with 114 papers from 2023 to 2026.