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 39 / 44 页

  1. NeurIPS 2026Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases
  2. NeurIPS 2026Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics
  3. NeurIPS 2026POST: Progressive Object-Slot Tokenization for Multimodal Large Language Models
  4. NeurIPS 2026Posterior Contraction Rates for sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
  5. NeurIPS 2026Posterior-Tracking for Best-Arm Identification in Bernoulli Bandits
  6. NeurIPS 2026Precision-Pyramid: Towards real-time neural decoding for fault-tolerant quantum computing
  7. NeurIPS 2026Predicting Only from Selected Evidence: A Tempered Product-of-Experts Bottleneck for Auditable EEG Diagnosis
  8. NeurIPS 2026Predicting Quantization Price for Selecting PTQ Configurations Before Deployment
  9. NeurIPS 2026Predicting What Changes: Causal Delta World Models for Risk-Aware LLM Agent Planning
  10. NeurIPS 2026Predictive but Not Plannable: RC-aux for Latent World Models
  11. NeurIPS 2026Preference-Guided Adversarial Policy Optimization for Long-Tail Robust Driving
  12. NeurIPS 2026Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers
  13. NeurIPS 2026PreFT: Prefill-only finetuning for inference efficiency
  14. NeurIPS 2026PRIME: Poincaré return induced measure for learning partially observed dynamical systems
  15. NeurIPS 2026Principled Federated Random Forests for Heterogeneous Data
  16. NeurIPS 2026Prior as Geometry, Not Generator: Weak-Diffusion Test-Time Reconstruction for Dynamic MRI
  17. NeurIPS 2026PRISM: Programming Interactive Scenes from Monocular Images for Embodied Simulation
  18. NeurIPS 2026ProactBench: Beyond What The User Asked For
  19. NeurIPS 2026Process-Aware LNS for Large-Scale MILP via Context-Enhanced Fine-Tuned LLM-driven Selector
  20. NeurIPS 2026ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
  21. NeurIPS 2026ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
  22. NeurIPS 2026ProGraf: Profile-Guided Planning for Step-by-Step Generation of Structured Non-Natural Images
  23. NeurIPS 2026Program-as-Weights: A Programming Paradigm for Fuzzy Functions
  24. NeurIPS 2026Progressive Memory Transformer: Memory-Aware Attention for Time-Series
  25. NeurIPS 2026Progressive Residual Warmup for Language Model Pretraining
  26. NeurIPS 2026Progressive Risk Estimation for Accident Anticipation
  27. NeurIPS 2026Proper Scoring Rules for Agentic Uncertainty Quantification
  28. NeurIPS 2026Proposing Better Rollouts for On-Policy Distillation
  29. NeurIPS 2026Prototype Topology Consistency for Visible-Infrared Lifelong Person Re-Identification
  30. NeurIPS 2026Provable Joint Decontamination for Benchmarking Multiple Large Language Models
  31. NeurIPS 2026Provable Pruning for Efficient 3D Gaussian Splatting via Coresets
  32. NeurIPS 2026PULSE: A Synchronized Five-Modality Dataset for Sensorimotor Coordination in Long-Horizon Daily Activities
  33. NeurIPS 2026QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem
  34. NeurIPS 2026Quantifying Centrality for Complex Data
  35. NeurIPS 2026Quantile Geometry Regularization for Distributional Reinforcement Learning
  36. NeurIPS 2026Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions
  37. NeurIPS 2026Query Lower Bounds for Approximating the Top Eigenvector of Asymmetric Matrices
  38. NeurIPS 2026Query Lower Bounds for Diffusion Sampling
  39. NeurIPS 2026QueryStop: Dynamic Stop Signals for Efficient Streaming Inference
  40. NeurIPS 2026QUEST: Q-Learning for Uncertainty-Guided Efficient Search Teams
  41. NeurIPS 2026Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning
  42. NeurIPS 2026QWaveNet: Quantum-Enhanced Wavelet Network for Time Series Forecasting
  43. NeurIPS 2026RadarMAE: Injecting Physical Inductive Biases into Masked Autoencoders for Advanced Radar Object Detection
  44. NeurIPS 2026Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
  45. NeurIPS 2026RAHF: Reward-Amplified Human Feedback for Closed-Loop Policy Fine-Tuning
  46. NeurIPS 2026RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy
  47. NeurIPS 2026Random Neural Network Expressivity for Non-Linear Partial Differential Equations
  48. NeurIPS 2026Random-Effects Centroids for Domain Generalization
  49. NeurIPS 2026Rare-Tail Statistics For Learning Biased Gaussian Halfspaces with Label Noise
  50. NeurIPS 2026RASS: Risk-Audited Budget Selection for Compact NeRF Benchmark Subsets

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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