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 542 篇，第 10 / 11 页

  1. NeurIPS 2025Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths
  2. NeurIPS 2025SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
  3. NeurIPS 2025SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
  4. NeurIPS 2025Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation
  5. NeurIPS 2025SparseDiT: Token Sparsification for Efficient Diffusion Transformer
  6. NeurIPS 2025Spatial Understanding from Videos: Structured Prompts Meet Simulation Data
  7. NeurIPS 2025SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
  8. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
  9. NeurIPS 2025SpectraLDS: Provable Distillation for Linear Dynamical Systems
  10. NeurIPS 2025SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
  11. NeurIPS 2025Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields
  12. NeurIPS 2025ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
  13. NeurIPS 2025Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
  14. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
  15. NeurIPS 2025STAR: A Benchmark for Astronomical Star Fields Super-Resolution
  16. NeurIPS 2025StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
  17. NeurIPS 2025State Entropy Regularization for Robust Reinforcement Learning
  18. NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
  19. NeurIPS 2025State-Covering Trajectory Stitching for Diffusion Planners
  20. NeurIPS 2025Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
  21. NeurIPS 2025Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
  22. NeurIPS 2025Statistical Inference for Gradient Boosting Regression
  23. NeurIPS 2025Statistical inference for Linear Stochastic Approximation with Markovian Noise
  24. NeurIPS 2025Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
  25. NeurIPS 2025Stepsize anything: A unified learning rate schedule for budgeted-iteration training
  26. NeurIPS 2025STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds
  27. NeurIPS 2025STree: Speculative Tree Decoding for Hybrid State Space Models
  28. NeurIPS 2025Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
  29. NeurIPS 2025STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
  30. NeurIPS 2025SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
  31. NeurIPS 2025Switchable Token-Specific Codebook Quantization For Face Image Compression
  32. NeurIPS 2025SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
  33. NeurIPS 2025SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
  34. NeurIPS 2025T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
  35. NeurIPS 2025T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
  36. NeurIPS 2025Table as a Modality for Large Language Models
  37. NeurIPS 2025Tail-Optimized Caching for LLM Inference
  38. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
  39. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
  40. NeurIPS 2025Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
  41. NeurIPS 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
  42. NeurIPS 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
  43. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
  44. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
  45. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
  46. NeurIPS 2025Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
  47. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
  48. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
  49. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
  50. NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting

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。

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