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

26 papers, page 1 of 1

1. ICLR 2026AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
2. ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
3. ICLR 2026Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
4. ICLR 2026Discrete Bayesian Sample Inference for Graph Generation
5. ICLR 2026Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
6. ICLR 2026Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
7. ICLR 2026Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
8. ICLR 2026GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
9. ICLR 2026High-dimensional Analysis of Synthetic Data Selection
10. ICLR 2026Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation
11. ICLR 2026Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
12. ICLR 2026Making, Not Taking, the Best of N
13. ICLR 2026Neon: Negative Extrapolation From Self-Training Improves Image Generation
14. ICLR 2026OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
15. ICLR 2026Reformulation for Pretraining Data Augmentation
16. ICLR 2026ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink Attributes
17. ICLR 2026Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
18. ICLR 2026SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset
19. ICLR 2026Scaling Synthetic Task Generation for Agents via Exploration
20. ICLR 2026Secret-Protected Evolution for Differentially Private Synthetic Text Generation
21. ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
22. ICLR 2026SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling
23. ICLR 2026Source-Guided Flow Matching
24. ICLR 2026Synthetic Bootstrapped Pretraining
25. ICLR 2026TabStruct: Measuring Structural Fidelity of Tabular Data
26. ICLR 2026Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models

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.