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

18 papers, page 1 of 1

1. NeurIPS 2024$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
2. NeurIPS 2024A Label is Worth A Thousand Images in Dataset Distillation
3. NeurIPS 2024CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
4. NeurIPS 2024Dealing with Synthetic Data Contamination in Online Continual Learning
5. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
6. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
7. NeurIPS 2024DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
8. NeurIPS 2024FairWire: Fair Graph Generation
9. NeurIPS 2024HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
10. NeurIPS 2024High Rank Path Development: an approach to learning the filtration of stochastic processes
11. NeurIPS 2024Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
12. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
13. NeurIPS 2024Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
14. NeurIPS 2024SimGen: Simulator-conditioned Driving Scene Generation
15. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
16. NeurIPS 2024Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
17. NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
18. NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

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.