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

169 papers, page 3 of 4

101. ICML 2024Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
102. ICML 2024Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
103. ICML 2024Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
104. ICML 2024Privacy-Preserving Instructions for Aligning Large Language Models
105. NeurIPS 2024$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
106. NeurIPS 2024A Synthetic Dataset for Personal Attribute Inference
107. NeurIPS 2024Debiasing Synthetic Data Generated by Deep Generative Models
108. NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
109. NeurIPS 2024Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment
110. NeurIPS 2024HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
111. NeurIPS 2024InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
112. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
113. NeurIPS 2024One-shot Federated Learning via Synthetic Distiller-Distillate Communication
114. NeurIPS 2024SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset
115. NeurIPS 2024The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
116. CVPR 20233D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
117. CVPR 2023ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
118. CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
119. CVPR 2023NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer
120. CVPR 2023Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
121. CVPR 2023Preserving Linear Separability in Continual Learning by Backward Feature Projection
122. CVPR 2023Swept-Angle Synthetic Wavelength Interferometry
123. ICLR 2023Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
124. ICLR 2023Learning topology-preserving data representations
125. ICLR 2023Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
126. ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
127. ICLR 2023Trainability Preserving Neural Pruning
128. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
129. ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
130. ICML 2023Data Structures for Density Estimation
131. ICML 2023Data-Derived Weak Universal Consistency
132. ICML 2023Effectively Using Public Data in Privacy Preserving Machine Learning
133. ICML 2023Generating Private Synthetic Data with Genetic Algorithms
134. ICML 2023Gradient-Free Structured Pruning with Unlabeled Data
135. ICML 2023Label differential privacy and private training data release
136. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
137. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
138. ICML 2023Synthetic data for model selection
139. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
140. ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
141. ICML 2023The Value of Out-of-Distribution Data
142. ICML 2023Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
143. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
144. NeurIPS 2023Adaptive Data Analysis in a Balanced Adversarial Model
145. NeurIPS 2023Adaptive Principal Component Regression with Applications to Panel Data
146. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
147. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
148. NeurIPS 2023Bounding training data reconstruction in DP-SGD
149. NeurIPS 2023Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
150. NeurIPS 2023Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test 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.