Synthetic Data papers, 2023–2026

Key findings

• Synthetic Data fell from 54 papers in 2023 to 50 in 2026, so interest is cooling.
• NeurIPS publishes the most Synthetic Data work: 64 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 0 in 2023 to 7 in 2026.
• Among the 5 topics under Federated and Privacy, it ranks #4 by 2026 paper count; the fastest grower in the group, Secure Aggregation, is up 1.8x versus 0.9x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Synthetic Data papers

54 papers, page 1 of 2

1. CVPR 20233D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
2. CVPR 2023ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
3. CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
4. CVPR 2023NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer
5. CVPR 2023Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
6. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
7. CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
8. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
9. ICLR 2023Learning topology-preserving data representations
10. ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
11. ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
12. ICLR 2023Trainability Preserving Neural Pruning
13. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
14. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
15. ICML 2023Data Structures for Density Estimation
16. ICML 2023Data-Derived Weak Universal Consistency
17. ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
18. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
19. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
20. ICML 2023Label differential privacy and private training data release
21. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
22. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
23. ICML 2023Synthetic data for model selection
24. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
25. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
26. ICML 2023The Value of Out-of-Distribution Data
27. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
28. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
29. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
30. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
31. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
32. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
33. NeurIPS 2023Bounding training data reconstruction in DP-SGD
34. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
35. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
36. NeurIPS 2023Data Minimization at Inference Time
37. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
38. NeurIPS 2023Detecting hidden confounding in observational data using multiple environments
39. NeurIPS 2023Differentially Private Approximate Near Neighbor Counting in High Dimensions
40. NeurIPS 2023Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
41. NeurIPS 2023Diverse Community Data for Benchmarking Data Privacy Algorithms
42. NeurIPS 2023Generalization in the Face of Adaptivity: A Bayesian Perspective
43. NeurIPS 2023GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
44. NeurIPS 2023How to Data in Datathons
45. NeurIPS 2023IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
46. NeurIPS 2023On the Gini-impurity Preservation For Privacy Random Forests
47. NeurIPS 2023Participatory Personalization in Classification
48. NeurIPS 2023Post-processing Private Synthetic Data for Improving Utility on Selected Measures
49. NeurIPS 2023Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
50. NeurIPS 2023Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark

FAQ

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

169 in total: 54 in 2023, 33 in 2024, 32 in 2025, 50 in 2026.

How many Synthetic Data papers are at NeurIPS 2026?

NeurIPS 2026 has 18 Synthetic Data papers, versus 8 the year before.

How many Synthetic Data papers are at ICLR 2026?

ICLR 2026 has 4 Synthetic Data papers, versus 7 the year before.

How many Synthetic Data papers are at ICML 2026?

ICML 2026 has 14 Synthetic Data papers, versus 9 the year before.

How many Synthetic Data papers are at CVPR 2026?

CVPR 2026 has 14 Synthetic Data papers, versus 8 the year before.

Which conference publishes the most Synthetic Data papers?

NeurIPS, with 64 papers from 2023 to 2026.