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 22 / 43 页

  1. NeurIPS 2025CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
  2. NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
  3. NeurIPS 2025Curly Flow Matching for Learning Non-gradient Field Dynamics
  4. NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
  5. NeurIPS 2025D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
  6. NeurIPS 2025D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
  7. NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
  8. NeurIPS 2025DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
  9. NeurIPS 2025Data-Dependent Regret Bounds for Constrained MABs
  10. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
  11. NeurIPS 2025Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
  12. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
  13. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
  14. NeurIPS 2025Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
  15. NeurIPS 2025DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
  16. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
  17. NeurIPS 2025DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
  18. NeurIPS 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
  19. NeurIPS 2025Depth-Bounds for Neural Networks via the Braid Arrangement
  20. NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
  21. NeurIPS 2025DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
  22. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
  23. NeurIPS 2025Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
  24. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
  25. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
  26. NeurIPS 2025DISCO: Disentangled Communication Steering for Large Language Models
  27. NeurIPS 2025Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
  28. NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
  29. NeurIPS 2025Distances for Markov chains from sample streams
  30. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
  31. NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
  32. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
  33. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
  34. NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
  35. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
  36. NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
  37. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
  38. NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
  39. NeurIPS 2025DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
  40. NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
  41. NeurIPS 2025DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
  42. NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
  43. NeurIPS 2025EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
  44. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
  45. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
  46. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
  47. NeurIPS 2025Efficient Verified Unlearning For Distillation
  48. NeurIPS 2025EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
  49. NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
  50. NeurIPS 2025Embedding Principle of Homogeneous Neural Network for Classification Problem

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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