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 13 / 43 页

  1. NeurIPS 2026Optimal Dimension-Free Sampling for Regularized Classification
  2. NeurIPS 2026Optimal Risk Bounds of Stochastic Gradient Descent for Shallow ReLU Networks
  3. NeurIPS 2026Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
  4. NeurIPS 2026Oracle-Robust Online Alignment for Large Language Models
  5. NeurIPS 2026Order-based structure learning for zero-inflated count data under data heterogeneity
  6. NeurIPS 2026Order-Marginalized Scoring for Masked Diffusion Models
  7. NeurIPS 2026Order-Optimal Sample Complexity for Distribution Learning via Flow Matching
  8. NeurIPS 2026OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain
  9. NeurIPS 2026Orthogonal Origin Parking: Decoupling Lorentz Manifolds for Robust OOD Generalization
  10. NeurIPS 2026Orthogonal Sparse Subgraph Alignment for Structure-Function Coupling in Brain Networks
  11. NeurIPS 2026Orthros: Phase-Aware Heterogeneous Attention for Efficient Transformers
  12. NeurIPS 2026OT-Robust3DVLA: A Wasserstein Barycenter is the Right Inductive Bias for Robust Multi-View 3D Vision-Language-Action Policies
  13. NeurIPS 2026PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
  14. NeurIPS 2026PACE-dLLM: Elastic Block Decoding via Confidence Cliff Estimation for Diffusion Language Models
  15. NeurIPS 2026PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
  16. NeurIPS 2026PACE: Progress Actively-internalized Conditioning Execution for Long-horizon Manipulation
  17. NeurIPS 2026Paloma: Phase-Conditioned Residual Modulation for Time Series Forecasting
  18. NeurIPS 2026Path-Guided Flow Matching for Dataset Distillation
  19. NeurIPS 2026PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
  20. NeurIPS 2026PDF-HR: Pose Distance Fields for Humanoid Robots
  21. NeurIPS 2026PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
  22. NeurIPS 2026Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
  23. NeurIPS 2026Periodic Complex Stochastic Processes for Retrieving Atomic Structures of Unknown Matters
  24. NeurIPS 2026Permit: Permission-Aware Representation Intervention for Controlled Generation in Large Language Models
  25. NeurIPS 2026Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
  26. NeurIPS 2026Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
  27. NeurIPS 2026Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding
  28. NeurIPS 2026Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences
  29. NeurIPS 2026Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
  30. NeurIPS 2026PhysRemover: A Unified Framework for Physically Realistic Object Removal
  31. NeurIPS 2026PipeFSDP: Efficient Pipeline Parallel under Fully Sharded Data Parallel for Large Language Model Training
  32. NeurIPS 2026PIS: Pose-Interpolation Smoothness for Skinning Weight Refinement
  33. NeurIPS 2026PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction
  34. NeurIPS 2026Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
  35. NeurIPS 2026PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
  36. NeurIPS 2026Polar Transformers: $SO(2)^K$-Equivariant Angular Attention for Cryo-EM Image-Set Processing
  37. NeurIPS 2026Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences
  38. NeurIPS 2026PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery
  39. NeurIPS 2026Pooling Versus Ensembling for Ridge Regression Under Covariate Shift
  40. NeurIPS 2026Population-Aligned Persona Generation for LLM-based Social Simulation
  41. NeurIPS 2026Position: Machine Learning Models for Reaction Transition States Deserve Better
  42. NeurIPS 2026Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases
  43. NeurIPS 2026Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics
  44. NeurIPS 2026POST: Progressive Object-Slot Tokenization for Multimodal Large Language Models
  45. NeurIPS 2026Posterior Contraction Rates for sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
  46. NeurIPS 2026Posterior-Tracking for Best-Arm Identification in Bernoulli Bandits
  47. NeurIPS 2026Precision-Pyramid: Towards real-time neural decoding for fault-tolerant quantum computing
  48. NeurIPS 2026Predicting Only from Selected Evidence: A Tempered Product-of-Experts Bottleneck for Auditable EEG Diagnosis
  49. NeurIPS 2026Predicting Quantization Price for Selecting PTQ Configurations Before Deployment
  50. NeurIPS 2026Predicting What Changes: Causal Delta World Models for Risk-Aware LLM Agent Planning

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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