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 26 / 29 页

  1. NeurIPS 2025Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
  2. NeurIPS 2025Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
  3. NeurIPS 2025QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
  4. NeurIPS 2025QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
  5. NeurIPS 2025QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
  6. NeurIPS 2025Quartet: Native FP4 Training Can Be Optimal for Large Language Models
  7. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
  8. NeurIPS 2025Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
  9. NeurIPS 2025RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
  10. NeurIPS 2025Rectified CFG++ for Flow Based Models
  11. NeurIPS 2025REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
  12. NeurIPS 2025Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses
  13. NeurIPS 2025REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
  14. NeurIPS 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scale
  15. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
  16. NeurIPS 2025RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
  17. NeurIPS 2025ReSim: Reliable World Simulation for Autonomous Driving
  18. NeurIPS 2025Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
  19. NeurIPS 2025Rethinking Losses for Diffusion Bridge Samplers
  20. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
  21. NeurIPS 2025Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
  22. NeurIPS 2025Revisiting Glorot Initialization for Long-Range Linear Recurrences
  23. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition
  24. NeurIPS 2025Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
  25. NeurIPS 2025RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees
  26. NeurIPS 2025Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
  27. NeurIPS 2025Risk Bounds For Distributional Regression
  28. NeurIPS 2025RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
  29. NeurIPS 2025RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
  30. NeurIPS 2025RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
  31. NeurIPS 2025RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
  32. NeurIPS 2025RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
  33. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
  34. NeurIPS 2025S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection
  35. NeurIPS 2025SALS: Sparse Attention in Latent Space for KV Cache Compression
  36. NeurIPS 2025SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
  37. NeurIPS 2025Sampled Estimators For Softmax Must Be Biased
  38. NeurIPS 2025SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
  39. NeurIPS 2025Scalable Best-of-N Selection for Large Language Models via Self-Certainty
  40. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
  41. NeurIPS 2025Scalable Policy-Based RL Algorithms for POMDPs
  42. NeurIPS 2025Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks
  43. NeurIPS 2025Scaling Laws for Optimal Data Mixtures
  44. NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
  45. NeurIPS 2025SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
  46. NeurIPS 2025See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction
  47. NeurIPS 2025See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
  48. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
  49. NeurIPS 2025Selective Learning for Deep Time Series Forecasting
  50. NeurIPS 2025Self-diffusion for Solving Inverse Problems

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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