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 2,111 篇，第 27 / 43 页

  1. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
  2. NeurIPS 2025Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
  3. NeurIPS 2025Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
  4. NeurIPS 2025Parallel Scaling Law for Language Models
  5. NeurIPS 2025Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
  6. NeurIPS 2025Parsimonious Predictions for Strategyproof Scheduling
  7. NeurIPS 2025PASS: Path-selective State Space Model for Event-based Recognition
  8. NeurIPS 2025PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions
  9. NeurIPS 2025Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
  10. NeurIPS 2025PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
  11. NeurIPS 2025PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
  12. NeurIPS 2025PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
  13. NeurIPS 2025Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings
  14. NeurIPS 2025PointTruss: K-Truss for Point Cloud Registration
  15. NeurIPS 2025Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
  16. NeurIPS 2025Practical Kernel Selection for Kernel-based Conditional Independence Test
  17. NeurIPS 2025Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
  18. NeurIPS 2025Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
  19. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
  20. NeurIPS 2025Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
  21. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
  22. NeurIPS 2025Progress Reward Model for Reinforcement Learning via Large Language Models
  23. NeurIPS 2025Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
  24. NeurIPS 2025Prompt Tuning Transformers for Data Memorization
  25. NeurIPS 2025PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  26. NeurIPS 2025PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
  27. NeurIPS 2025Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
  28. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
  29. NeurIPS 2025Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
  30. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
  31. NeurIPS 2025QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
  32. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
  33. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
  34. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
  35. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
  36. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
  37. NeurIPS 2025Rectified CFG++ for Flow Based Models
  38. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
  39. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
  40. NeurIPS 2025REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
  41. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
  42. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
  43. NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
  44. NeurIPS 2025ReSim: Reliable World Simulation for Autonomous Driving
  45. NeurIPS 2025Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
  46. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
  47. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
  48. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
  49. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
  50. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition

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