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

18 papers, page 1 of 1

1. NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
2. NeurIPS 2026Breaking the Synthesis Barrier for AI-Designed DNA Libraries
3. NeurIPS 2026Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
4. NeurIPS 2026Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
5. NeurIPS 2026It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
6. NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
7. NeurIPS 2026Load Balancing Mixture of Experts with Similarity Preserving Routers
8. NeurIPS 2026Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models
9. NeurIPS 2026Optimal Real-Data Allocation for Synthetic-Data-Augmented Inference
10. NeurIPS 2026Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
11. NeurIPS 2026Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
12. NeurIPS 2026Privacy Amplification Persists under Unlimited Synthetic Data Release
13. NeurIPS 2026Quest: Training Frontier Deep Research Agents with Fully Synthetic Tasks
14. NeurIPS 2026SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
15. NeurIPS 2026StereoPep: Do Molecular Models Understand Stereochemistry? A Benchmark on Synthetic Diastereomeric Peptides
16. NeurIPS 2026Synthetic Anchor-Assisted Prototype Alignment for Heterogeneous Federated Learning
17. NeurIPS 2026Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
18. NeurIPS 2026Targeted Synthetic Control Method

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.