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 410 篇，第 6 / 9 页

  1. NeurIPS 2024NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
  2. NeurIPS 2024Neural Collapse To Multiple Centers For Imbalanced Data
  3. NeurIPS 2024Neural Conditional Probability for Uncertainty Quantification
  4. NeurIPS 2024Neural Experts: Mixture of Experts for Implicit Neural Representations
  5. NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
  6. NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
  7. NeurIPS 2024NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
  8. NeurIPS 2024NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
  9. NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
  10. NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
  11. NeurIPS 2024Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
  12. NeurIPS 2024NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  13. NeurIPS 2024Norms for Managing Datasets: A Systematic Review of NeurIPS Datasets
  14. NeurIPS 2024Not All Tokens Are What You Need for Pretraining
  15. NeurIPS 2024ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
  16. NeurIPS 2024Oja's Algorithm for Streaming Sparse PCA
  17. NeurIPS 2024On Divergence Measures for Training GFlowNets
  18. NeurIPS 2024On Sampling Strategies for Spectral Model Sharding
  19. NeurIPS 2024On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
  20. NeurIPS 2024On the Power of Small-size Graph Neural Networks for Linear Programming
  21. NeurIPS 2024On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
  22. NeurIPS 2024On Weak Regret Analysis for Dueling Bandits
  23. NeurIPS 2024Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
  24. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
  25. NeurIPS 2024OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
  26. NeurIPS 2024Operator World Models for Reinforcement Learning
  27. NeurIPS 2024Optimal Algorithms for Augmented Testing of Discrete Distributions
  28. NeurIPS 2024Optimal Algorithms for Learning Partitions with Faulty Oracles
  29. NeurIPS 2024Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
  30. NeurIPS 2024Optimal Scalarizations for Sublinear Hypervolume Regret
  31. NeurIPS 2024Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
  32. NeurIPS 2024Oracle-Efficient Reinforcement Learning for Max Value Ensembles
  33. NeurIPS 2024Ordered Momentum for Asynchronous SGD
  34. NeurIPS 2024OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
  35. NeurIPS 2024Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
  36. NeurIPS 2024PAC-Bayes-Chernoff bounds for unbounded losses
  37. NeurIPS 2024PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
  38. NeurIPS 2024PaCE: Parsimonious Concept Engineering for Large Language Models
  39. NeurIPS 2024PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
  40. NeurIPS 2024Paloma: A Benchmark for Evaluating Language Model Fit
  41. NeurIPS 2024Parameter Competition Balancing for Model Merging
  42. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
  43. NeurIPS 2024Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
  44. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
  45. NeurIPS 2024Perplexity-aware Correction for Robust Alignment with Noisy Preferences
  46. NeurIPS 2024Persistent Homology for High-dimensional Data Based on Spectral Methods
  47. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
  48. NeurIPS 2024Policy Optimization for Robust Average Reward MDPs
  49. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
  50. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks

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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