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

27 papers, page 1 of 1

1. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
2. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
3. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
4. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
5. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
6. NeurIPS 2023Bounding training data reconstruction in DP-SGD
7. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
8. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
9. NeurIPS 2023Data Minimization at Inference Time
10. NeurIPS 2023Decision Tree for Locally Private Estimation with Public Data
11. NeurIPS 2023Detecting hidden confounding in observational data using multiple environments
12. NeurIPS 2023Differentially Private Approximate Near Neighbor Counting in High Dimensions
13. NeurIPS 2023Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
14. NeurIPS 2023Diverse Community Data for Benchmarking Data Privacy Algorithms
15. NeurIPS 2023Generalization in the Face of Adaptivity: A Bayesian Perspective
16. NeurIPS 2023GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
17. NeurIPS 2023How to Data in Datathons
18. NeurIPS 2023IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
19. NeurIPS 2023On the Gini-impurity Preservation For Privacy Random Forests
20. NeurIPS 2023Participatory Personalization in Classification
21. NeurIPS 2023Post-processing Private Synthetic Data for Improving Utility on Selected Measures
22. NeurIPS 2023Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
23. NeurIPS 2023Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
24. NeurIPS 2023Streaming PCA for Markovian Data
25. NeurIPS 2023SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
26. NeurIPS 2023Synthcity: a benchmark framework for diverse use cases of tabular synthetic data
27. NeurIPS 2023Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings

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.