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 1,405 篇，第 28 / 29 页

  1. NeurIPS 2025Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
  2. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
  3. NeurIPS 2025Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations
  4. NeurIPS 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
  5. NeurIPS 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
  6. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
  7. NeurIPS 2025The Quest for Universal Master Key Filters in DS-CNNs
  8. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
  9. NeurIPS 2025Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
  10. NeurIPS 2025Tight Bounds for Answering Adaptively Chosen Concentrated Queries
  11. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
  12. NeurIPS 2025Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
  13. NeurIPS 2025TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
  14. NeurIPS 2025TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
  15. NeurIPS 2025Token Perturbation Guidance for Diffusion Models
  16. NeurIPS 2025TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
  17. NeurIPS 2025TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography
  18. NeurIPS 2025TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
  19. NeurIPS 2025Towards Generalizable Detector for Generated Image
  20. NeurIPS 2025Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
  21. NeurIPS 2025Transductive Conformal Inference for Full Ranking
  22. NeurIPS 2025Transformers are almost optimal metalearners for linear classification
  23. NeurIPS 2025Tree-Based Premise Selection for Lean4
  24. NeurIPS 2025Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
  25. NeurIPS 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
  26. NeurIPS 2025UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
  27. NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
  28. NeurIPS 2025Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
  29. NeurIPS 2025Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
  30. NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
  31. NeurIPS 2025Unified Scaling Laws for Compressed Representations
  32. NeurIPS 2025Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
  33. NeurIPS 2025UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
  34. NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
  35. NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
  36. NeurIPS 2025UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
  37. NeurIPS 2025V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
  38. NeurIPS 2025Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
  39. NeurIPS 2025Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
  40. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
  41. NeurIPS 2025VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
  42. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
  43. NeurIPS 2025Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
  44. NeurIPS 2025What Matters in Data for DPO?
  45. NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
  46. NeurIPS 2025When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
  47. NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
  48. NeurIPS 2025Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
  49. NeurIPS 2025With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
  50. NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

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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