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 2 of 4

51. CVPR 20253D Dental Model Segmentation with Geometrical Boundary Preserving
52. CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
53. CVPR 2025Be More Specific: Evaluating Object-centric Realism in Synthetic Images
54. CVPR 2025GASP: Gaussian Avatars with Synthetic Priors
55. CVPR 2025GazeGene: Large-scale Synthetic Gaze Dataset with 3D Eyeball Annotations
56. CVPR 2025Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
57. CVPR 2025Synthetic Visual Genome
58. CVPR 2025SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
59. ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
60. ICLR 2025Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
61. ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
62. ICLR 2025HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
63. ICLR 2025Self-Boosting Large Language Models with Synthetic Preference Data
64. ICLR 2025Strong Model Collapse
65. ICLR 2025UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition
66. ICML 2025AutoEval Done Right: Using Synthetic Data for Model Evaluation
67. ICML 2025How to Synthesize Text Data without Model Collapse?
68. ICML 2025Idiosyncrasies in Large Language Models
69. ICML 2025Measuring Diversity in Synthetic Datasets
70. ICML 2025OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
71. ICML 2025Privacy Amplification Through Synthetic Data: Insights from Linear Regression
72. ICML 2025Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
73. ICML 2025The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
74. ICML 2025Unlocking Post-hoc Dataset Inference with Synthetic Data
75. NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
76. NeurIPS 2025AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
77. NeurIPS 2025LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
78. NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
79. NeurIPS 2025Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
80. NeurIPS 2025Private Evolution Converges
81. NeurIPS 2025Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training
82. NeurIPS 2025Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
83. CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
84. CVPR 2024EgoGen: An Egocentric Synthetic Data Generator
85. CVPR 2024En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
86. CVPR 2024Generalizable Novel-View Synthesis using a Stereo Camera
87. CVPR 2024Learning from Synthetic Human Group Activities
88. CVPR 2024Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
89. CVPR 2024RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
90. CVPR 2024Scaling Laws of Synthetic Images for Model Training ... for Now
91. CVPR 2024Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
92. CVPR 2024Towards Generalizable Tumor Synthesis
93. CVPR 2024WinSyn: : A High Resolution Testbed for Synthetic Data
94. ICLR 2024Differentially Private Synthetic Data via Foundation Model APIs 1: Images
95. ICLR 2024Pre-training with Synthetic Data Helps Offline Reinforcement Learning
96. ICLR 2024Teaching Language Models to Hallucinate Less with Synthetic Tasks
97. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
98. ICML 2024Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
99. ICML 2024Differentially Private Sum-Product Networks
100. ICML 2024Differentially Private Synthetic Data via Foundation Model APIs 2: Text

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.