Synthetic Data Generation papers, 2023–2026

Key findings

• Synthetic Data Generation went from 72 papers in 2023 to 96 in 2026, roughly 1.3x in three years.
• NeurIPS publishes the most Synthetic Data Generation work: 114 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 6 in 2023 to 20 in 2026.
• Among the 5 topics under Data-Centric AI, it ranks #1 by 2026 paper count; the fastest grower in the group, Weak Supervision, is up 1.3x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Breaking the Quality–Privacy Tradeoff in Tabular Data Generation via In-Context Learning
• ICML 2026Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
• ICLR 2026Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs
• CVPR 2026Beyond Objects Contextual Synthetic Data Generation for Fine-Grained Classification
• NeurIPS 2025Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data
• ICML 2025Synthetic Text Generation for Training Large Language Models via Gradient Matching
• ICLR 2025Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
• CVPR 2025Synthetic Visual Genome
• NeurIPS 2024DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
• ICML 2024CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
• ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
• CVPR 2024Learning from Synthetic Human Group Activities
• NeurIPS 2023[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification
• ICML 2023Data Feedback Loops: Model-driven Amplification of Dataset Biases
• ICLR 2023Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
• CVPR 2023Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
• NeurIPS 2026Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
• ICML 2026Counterfactual Residual Data Augmentation for Regression
• ICLR 2026Making, Not Taking, the Best of N
• CVPR 2026Order Matters 3D Shape Generation from Sequential VR Sketches

All Synthetic Data Generation papers

68 papers, page 2 of 2

51. NeurIPS 2025Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
52. NeurIPS 2025Increasing the Utility of Synthetic Images through Chamfer Guidance
53. NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
54. NeurIPS 2025MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
55. NeurIPS 2025MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
56. NeurIPS 2025MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges
57. NeurIPS 2025Non-Adaptive Adversarial Face Generation
58. NeurIPS 2025PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
59. NeurIPS 2025Parameterized Synthetic Text Generation with SimpleStories
60. NeurIPS 2025Private Evolution Converges
61. NeurIPS 2025ROSE: Remove Objects with Side Effects in Videos
62. NeurIPS 2025Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
63. NeurIPS 2025Self-Adapting Language Models
64. NeurIPS 2025SimpleStrat: Diversifying Language Model Generation with Stratification
65. NeurIPS 2025Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
66. NeurIPS 2025Synthetic Series-Symbol Data Generation for Time Series Foundation Models
67. NeurIPS 2025Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations
68. NeurIPS 2025Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions

FAQ

How many Synthetic Data Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

277 in total: 72 in 2023, 41 in 2024, 68 in 2025, 96 in 2026.

How many Synthetic Data Generation papers are at NeurIPS 2026?

NeurIPS 2026 has 24 Synthetic Data Generation papers, versus 27 the year before.

How many Synthetic Data Generation papers are at ICLR 2026?

ICLR 2026 has 26 Synthetic Data Generation papers, versus 18 the year before.

How many Synthetic Data Generation papers are at ICML 2026?

ICML 2026 has 21 Synthetic Data Generation papers, versus 9 the year before.

How many Synthetic Data Generation papers are at CVPR 2026?

CVPR 2026 has 25 Synthetic Data Generation papers, versus 14 the year before.

Which conference publishes the most Synthetic Data Generation papers?

NeurIPS, with 114 papers from 2023 to 2026.