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 2,199 篇，第 38 / 44 页

  1. NeurIPS 2026On Concentration Inequalities for Sampling without Replacement
  2. NeurIPS 2026On Data Engineering for Scaling LLM Terminal Capabilities
  3. NeurIPS 2026On the Memorization of Consistency Distillation for Diffusion Models
  4. NeurIPS 2026On the Nonlinearity of Learning Rate Scaling for LLM Training
  5. NeurIPS 2026One Avatar, Any Budget: Robust LoD for Dynamic Gaussian Avatars
  6. NeurIPS 2026One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
  7. NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
  8. NeurIPS 2026Online Quantile Omniprediction for Proper Losses
  9. NeurIPS 2026OpenSanctions Pairs: A Large-Scale Dataset for Pairwise Entity Matching
  10. NeurIPS 2026Optimal Dimension-Free Sampling for Regularized Classification
  11. NeurIPS 2026Optimal Risk Bounds of Stochastic Gradient Descent for Shallow ReLU Networks
  12. NeurIPS 2026Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
  13. NeurIPS 2026Oracle-Robust Online Alignment for Large Language Models
  14. NeurIPS 2026Order-based structure learning for zero-inflated count data under data heterogeneity
  15. NeurIPS 2026Order-Marginalized Scoring for Masked Diffusion Models
  16. NeurIPS 2026Order-Optimal Sample Complexity for Distribution Learning via Flow Matching
  17. NeurIPS 2026OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain
  18. NeurIPS 2026Orthogonal Origin Parking: Decoupling Lorentz Manifolds for Robust OOD Generalization
  19. NeurIPS 2026Orthogonal Sparse Subgraph Alignment for Structure-Function Coupling in Brain Networks
  20. NeurIPS 2026Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
  21. NeurIPS 2026OT-Robust3DVLA: A Wasserstein Barycenter is the Right Inductive Bias for Robust Multi-View 3D Vision-Language-Action Policies
  22. NeurIPS 2026PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
  23. NeurIPS 2026PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
  24. NeurIPS 2026PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
  25. NeurIPS 2026PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation
  26. NeurIPS 2026Paloma: Phase-Conditioned Residual Modulation for Time Series Forecasting
  27. NeurIPS 2026Path-Guided Flow Matching for Dataset Distillation
  28. NeurIPS 2026PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
  29. NeurIPS 2026PDF-HR: Pose Distance Fields for Humanoid Robots
  30. NeurIPS 2026PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
  31. NeurIPS 2026Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
  32. NeurIPS 2026Periodic Complex Stochastic Processes for Retrieving Atomic Structures of Unknown Matters
  33. NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
  34. NeurIPS 2026Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
  35. NeurIPS 2026Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
  36. NeurIPS 2026Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding
  37. NeurIPS 2026Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences
  38. NeurIPS 2026Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
  39. NeurIPS 2026PhysRemover: A Unified Framework for Physically Realistic Object Removal
  40. NeurIPS 2026PipeFSDP: Efficient Pipeline Parallel under Fully Sharded Data Parallel for Large Language Model Training
  41. NeurIPS 2026PIS: Pose-Interpolation Smoothness for Skinning Weight Refinement
  42. NeurIPS 2026PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction
  43. NeurIPS 2026Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
  44. NeurIPS 2026PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
  45. NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
  46. NeurIPS 2026Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences
  47. NeurIPS 2026PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
  48. NeurIPS 2026Pooling Versus Ensembling for Ridge Regression Under Covariate Shift
  49. NeurIPS 2026Population-Aligned Persona Generation for LLM-based Social Simulation
  50. NeurIPS 2026Position: Machine Learning Models for Reaction Transition States Deserve Better

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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