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

共 1,405 篇,第 21 / 29 页

  1. NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
  2. NeurIPS 2025Distances for Markov chains from sample streams
  3. NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
  4. NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
  5. NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
  6. NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
  7. NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
  8. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
  9. NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
  10. NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
  11. NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
  12. NeurIPS 2025DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
  13. NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
  14. NeurIPS 2025DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
  15. NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
  16. NeurIPS 2025EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
  17. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
  18. NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
  19. NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
  20. NeurIPS 2025Efficient Verified Unlearning For Distillation
  21. NeurIPS 2025EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
  22. NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
  23. NeurIPS 2025Embedding Principle of Homogeneous Neural Network for Classification Problem
  24. NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
  25. NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
  26. NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
  27. NeurIPS 2025Enhancing 3D Reconstruction for Dynamic Scenes
  28. NeurIPS 2025Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
  29. NeurIPS 2025Environment Inference for Learning Generalizable Dynamical System
  30. NeurIPS 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
  31. NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
  32. NeurIPS 2025Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
  33. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
  34. NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
  35. NeurIPS 2025Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
  36. NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
  37. NeurIPS 2025Exponential Dynamic Energy Network for High Capacity Sequence Memory
  38. NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
  39. NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
  40. NeurIPS 2025Faster Fixed-Point Methods for Multichain MDPs
  41. NeurIPS 2025FastVID: Dynamic Density Pruning for Fast Video Large Language Models
  42. NeurIPS 2025FedEL: Federated Elastic Learning for Heterogeneous Devices
  43. NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
  44. NeurIPS 2025First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
  45. NeurIPS 2025Flexible inference for animal learning rules using neural networks
  46. NeurIPS 2025FlexOLMo: Open Language Models for Flexible Data Use
  47. NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
  48. NeurIPS 2025FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
  49. NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
  50. NeurIPS 2025For Better or for Worse, Transformers Seek Patterns for Memorization

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"}

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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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