驾驶仿真论文趋势 2023–2026

闭环仿真

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,882 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

驾驶仿真论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部驾驶仿真论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,405 篇，第 27 / 29 页

  1. NeurIPS 2025Semantic-guided Diverse Decoding for Large Language Model
  2. NeurIPS 2025SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
  3. NeurIPS 2025ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
  4. NeurIPS 2025Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors
  5. NeurIPS 2025Sharp Gaussian approximations for Decentralized Federated Learning
  6. NeurIPS 2025Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
  7. NeurIPS 2025Simple Distillation for One-Step Diffusion Models
  8. NeurIPS 2025SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
  9. NeurIPS 2025Simulation-Based Inference for Adaptive Experiments
  10. NeurIPS 2025Sinusoidal Initialization, Time for a New Start
  11. NeurIPS 2025Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
  12. NeurIPS 2025Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations
  13. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
  14. NeurIPS 2025Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
  15. NeurIPS 2025SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
  16. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
  17. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
  18. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
  19. NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
  20. NeurIPS 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
  21. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
  22. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
  23. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
  24. NeurIPS 2025Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
  25. NeurIPS 2025ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
  26. NeurIPS 2025Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
  27. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
  28. NeurIPS 2025STAR: A Benchmark for Astronomical Star Fields Super-Resolution
  29. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
  30. NeurIPS 2025State Entropy Regularization for Robust Reinforcement Learning
  31. NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
  32. NeurIPS 2025State-Covering Trajectory Stitching for Diffusion Planners
  33. NeurIPS 2025Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
  34. NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
  35. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
  36. NeurIPS 2025Statistical inference for Linear Stochastic Approximation with Markovian Noise
  37. NeurIPS 2025Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
  38. NeurIPS 2025Stepsize anything: A unified learning rate schedule for budgeted-iteration training
  39. NeurIPS 2025STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
  40. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
  41. NeurIPS 2025Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
  42. NeurIPS 2025STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
  43. NeurIPS 2025SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
  44. NeurIPS 2025Switchable Token-Specific Codebook Quantization For Face Image Compression
  45. NeurIPS 2025SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
  46. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
  47. NeurIPS 2025T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
  48. NeurIPS 2025T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
  49. NeurIPS 2025Table as a Modality for Large Language Models
  50. NeurIPS 2025Tail-Optimized Caching for LLM Inference

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查驾驶仿真在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "simulation-for-driving"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？
共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。
NeurIPS 2026 有多少篇驾驶仿真论文？
NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。
ICLR 2026 有多少篇驾驶仿真论文？
ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。
ICML 2026 有多少篇驾驶仿真论文？
ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。
CVPR 2026 有多少篇驾驶仿真论文？
CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。
哪个会议的驾驶仿真论文最多？
NeurIPS，2023–2026 年共 2,111 篇。

「自动驾驶」下的其他主题