Sim-to-Real papers, 2023–2026
Transfer and domain randomization
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 629 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 57 | 18 | 32 | 52 | 159 |
| 2024 | 34 | 20 | 37 | 57 | 148 |
| 2025 | 33 | 16 | 18 | 51 | 118 |
| 2026 | 75 | 33 | 33 | 63 | 204 |
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
148 papers, page 2 of 3
- CVPR 2024SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction
- CVPR 2024Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
- CVPR 2024SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
- CVPR 2024Towards Robust 3D Pose Transfer with Adversarial Learning
- CVPR 2024Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
- CVPR 2024URHand: Universal Relightable Hands
- CVPR 2024UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement
- ICLR 2024Adapting Large Language Models via Reading Comprehension
- ICLR 2024Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
- ICLR 2024AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
- ICLR 2024Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
- ICLR 2024Class Probability Matching with Calibrated Networks for Label Shift Adaption
- ICLR 2024Continuous Invariance Learning
- ICLR 2024Domain Randomization via Entropy Maximization
- ICLR 2024Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
- ICLR 2024DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
- ICLR 2024Exploring the Promise and Limits of Real-Time Recurrent Learning
- ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
- ICLR 2024Goodhart's Law in Reinforcement Learning
- ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
- ICLR 2024Improving Non-Transferable Representation Learning by Harnessing Content and Style
- ICLR 2024Real-Fake: Effective Training Data Synthesis Through Distribution Matching
- ICLR 2024Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
- ICLR 2024ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
- ICLR 2024SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
- ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
- ICLR 2024ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
- ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
- ICML 2024Adaptive Conformal Inference by Betting
- ICML 2024Adversarially Robust Hypothesis Transfer Learning
- ICML 2024ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
- ICML 2024Ameliorate Spurious Correlations in Dataset Condensation
- ICML 2024Automating the Selection of Proxy Variables of Unmeasured Confounders
- ICML 2024CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
- ICML 2024Centralized Selection with Preferences in the Presence of Biases
- ICML 2024Copula-Nested Spectral Kernel Network
- ICML 2024Deletion-Anticipative Data Selection with a Limited Budget
- ICML 2024Distributionally Robust Data Valuation
- ICML 2024Domain Generalisation via Imprecise Learning
- ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
- ICML 2024Dynamic Correlation Clustering in Sublinear Update Time
- ICML 2024Dynamic Facility Location in High Dimensional Euclidean Spaces
- ICML 2024Equilibrium of Data Markets with Externality
- ICML 2024EvIL: Evolution Strategies for Generalisable Imitation Learning
- ICML 2024EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
- ICML 2024Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
- ICML 2024GATE: How to Keep Out Intrusive Neighbors
- ICML 2024Generalization Analysis of Deep Non-linear Matrix Completion
- ICML 2024Learning to Continually Learn with the Bayesian Principle
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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.