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
199 papers, page 1 of 4
- NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
- NeurIPS 2026Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows
- NeurIPS 2026Auditing AI peer reviewers: a dose-response and false-positive benchmark on real scientific papers
- NeurIPS 2026BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
- NeurIPS 2026Beyond Real or Fake: A Dual-Channel Authenticity and Reasoning Protocol for Photographic Assessment
- NeurIPS 2026Bypassing PC1 Makes SAEs More Reproducible
- NeurIPS 2026Can Entry-Wise Clipping Give Spectral Control of Stochastic Gradients?
- NeurIPS 2026Cheap Talk, Real Stakes: Commitment and Exploitation in Human-LLM Strategic Interaction
- NeurIPS 2026Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
- NeurIPS 2026Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes
- NeurIPS 2026Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
- NeurIPS 2026DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
- NeurIPS 2026Distributionally Robust Domain Randomization with Learned Risk-Sensitive Dynamics Samplers
- NeurIPS 2026DoFP-Aligned Lookup Tables for Real-Time Polarization Demosaicking
- NeurIPS 2026Dynamics-Informed Adaptive Offline RL for Real-Time Tokamak Plasma Control
- NeurIPS 2026Emergent Misalignment as Data-Mediated Transfer
- NeurIPS 2026Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
- NeurIPS 2026ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
- NeurIPS 2026ExtrapAir: Air Quality Inference at Unmonitored Locations via Weather-Bridged Spatial Attention
- NeurIPS 2026FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization
- NeurIPS 2026FASTER: Rethinking Real-Time Flow VLAs
- NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
- NeurIPS 2026Gaeta-Lie Neural SDEs: Symmetry-Regularized Learning of Stochastic Dynamics
- NeurIPS 2026GenZ: Hybrid statistical–foundational models for knowledge discovery from real-valued multidimensional targets
- NeurIPS 2026GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
- NeurIPS 2026Harnessing Data Asymmetry in Manifold Learning
- NeurIPS 2026Inference-Time Refinement Closes the Synthetic-Real Gap in Tabular Diffusion
- NeurIPS 2026Information Discernment in Large Language Models
- NeurIPS 2026INVITA-WheatFieldState: A Real-World Benchmark for Crop-State Estimation in Wheat Field Trials
- NeurIPS 2026Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench
- NeurIPS 2026JARVIS-Bench: Benchmarking Personal Intelligence Agents on Long-Horizon Real-User Daily Traces
- NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
- NeurIPS 2026Learning Planning Budgets in Real-Time RL
- NeurIPS 2026Learning Rate Transfer in Normalized Transformers
- NeurIPS 2026Learning to target with network interference
- NeurIPS 2026Local Gaussian Processes on Compact Lie Groups
- NeurIPS 2026MatCurvs: Article Real-Coordinate Curve Extraction for Agent-Ready Materials Reasoning
- NeurIPS 2026MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
- NeurIPS 2026MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
- NeurIPS 2026Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors
- NeurIPS 2026No-Regret Caching with Delayed Hits
- NeurIPS 2026NPUsper: Eliminating Redundant Computation for Real-Time Whisper on Mobile NPUs
- NeurIPS 2026OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories
- NeurIPS 2026Optimal Real-Data Allocation for Synthetic-Data-Augmented Inference
- NeurIPS 2026Origami as a Real-Image Benchmark for Procedural State-Transition Reasoning
- NeurIPS 2026Phantom Transfer: Data Poisoning can Survive Data-Level Defences
- NeurIPS 2026PhysDNet: Physics-Driven Gradient Amplification for Real-Time Image Dehazing
- NeurIPS 2026Precision-Pyramid: Towards real-time neural decoding for fault-tolerant quantum computing
- NeurIPS 2026ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts
- NeurIPS 2026RAD-TFM: Robust and Domain-Adapted Tabular Foundation Models
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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.