Sim-to-Real papers, 2023–2026

Key findings

• Sim-to-Real went from 159 papers in 2023 to 204 in 2026, roughly 1.3x in three years.
• CVPR publishes the most Sim-to-Real work: 223 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 2 in 2023 to 27 in 2026.
• Among the 5 topics under Robotics and Embodied AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Humanoid Control, is up 3.8x versus 1.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
• ICML 2026RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
• ICLR 2026Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
• CVPR 2026AnthroTAP Learning Point Tracking with Real-World Motion
• NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
• ICML 2025HyperIV: Real-time Implied Volatility Smoothing
• ICLR 2025Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
• CVPR 2025Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
• NeurIPS 2024EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
• ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
• ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
• CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
• NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
• ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
• ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
• CVPR 2023Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
• NeurIPS 2026Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
• ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
• ICLR 2026PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation
• CVPR 2026BiProLoRA Bilevel Prompt LoRA for Real Scene Recovery

All Sim-to-Real papers

20 papers, page 1 of 1

1. ICLR 2024Adapting Large Language Models via Reading Comprehension
2. ICLR 2024Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
3. ICLR 2024AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
4. ICLR 2024Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
5. ICLR 2024Class Probability Matching with Calibrated Networks for Label Shift Adaption
6. ICLR 2024Continuous Invariance Learning
7. ICLR 2024Domain Randomization via Entropy Maximization
8. ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
9. ICLR 2024DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
10. ICLR 2024Exploring the Promise and Limits of Real-Time Recurrent Learning
11. ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
12. ICLR 2024Goodhart's Law in Reinforcement Learning
13. ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
14. ICLR 2024Improving Non-Transferable Representation Learning by Harnessing Content and Style
15. ICLR 2024Real-Fake: Effective Training Data Synthesis Through Distribution Matching
16. ICLR 2024Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
17. ICLR 2024ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
18. ICLR 2024SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
19. ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
20. ICLR 2024ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

FAQ

How many Sim-to-Real papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

629 in total: 159 in 2023, 148 in 2024, 118 in 2025, 204 in 2026.

How many Sim-to-Real papers are at NeurIPS 2026?

NeurIPS 2026 has 75 Sim-to-Real papers, versus 33 the year before.

How many Sim-to-Real papers are at ICLR 2026?

ICLR 2026 has 33 Sim-to-Real papers, versus 16 the year before.

How many Sim-to-Real papers are at ICML 2026?

ICML 2026 has 33 Sim-to-Real papers, versus 18 the year before.

How many Sim-to-Real papers are at CVPR 2026?

CVPR 2026 has 63 Sim-to-Real papers, versus 51 the year before.

Which conference publishes the most Sim-to-Real papers?

CVPR, with 223 papers from 2023 to 2026.