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

46 papers, page 1 of 1

1. ICML 2026$\texttt{FHAIM}$: Fully Homomorphic AIM for Private Tabular Synthetic Data Generation
2. ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
3. ICML 2026An Information-Theoretic Criterion for Efficient Data Synthesis
4. ICML 2026Differentially Private Synthetic Data via APIs 4: Tabular Data
5. ICML 2026FedUSD: Unbiased Synthetic Data for Federated Learning
6. ICML 2026Geometry-Aware Tabular Diffusion
7. ICML 2026Identifying Learnwares via Reduced Neural Conditional Mean Embedding
8. ICML 2026Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
9. ICML 2026Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
10. ICML 2026PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
11. ICML 2026R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
12. ICML 2026Relational In-Context Learning via Synthetic Pre-training with Structural Prior
13. ICML 2026TexEditor: Structure-Preserving Text-Driven Texture Editing
14. ICML 2026Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data
15. ICML 2025AutoEval Done Right: Using Synthetic Data for Model Evaluation
16. ICML 2025How to Synthesize Text Data without Model Collapse?
17. ICML 2025Idiosyncrasies in Large Language Models
18. ICML 2025Measuring Diversity in Synthetic Datasets
19. ICML 2025OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
20. ICML 2025Privacy Amplification Through Synthetic Data: Insights from Linear Regression
21. ICML 2025Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
22. ICML 2025The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
23. ICML 2025Unlocking Post-hoc Dataset Inference with Synthetic Data
24. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
25. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
26. ICML 2024Differentially Private Sum-Product Networks
27. ICML 2024Differentially Private Synthetic Data via Foundation Model APIs 2: Text
28. ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
29. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
30. ICML 2024Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
31. ICML 2024Privacy-Preserving Instructions for Aligning Large Language Models
32. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
33. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
34. ICML 2023Data Structures for Density Estimation
35. ICML 2023Data-Derived Weak Universal Consistency
36. ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
37. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
38. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
39. ICML 2023Label differential privacy and private training data release
40. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
41. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
42. ICML 2023Synthetic data for model selection
43. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
44. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
45. ICML 2023The Value of Out-of-Distribution Data
46. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data

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.