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 26 / 43 页

  1. NeurIPS 2025Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
  2. NeurIPS 2025Multilevel neural simulation-based inference
  3. NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
  4. NeurIPS 2025MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
  5. NeurIPS 2025MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
  6. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
  7. NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
  8. NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models
  9. NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
  10. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
  11. NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
  12. NeurIPS 2025NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
  13. NeurIPS 2025Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
  14. NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
  15. NeurIPS 2025Network two-sample test for block models
  16. NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
  17. NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
  18. NeurIPS 2025Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
  19. NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
  20. NeurIPS 2025Neural Green’s Functions
  21. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
  22. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
  23. NeurIPS 2025NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
  24. NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
  25. NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
  26. NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
  27. NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
  28. NeurIPS 2025Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
  29. NeurIPS 2025Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
  30. NeurIPS 2025NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes
  31. NeurIPS 2025NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache
  32. NeurIPS 2025Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
  33. NeurIPS 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
  34. NeurIPS 2025Offline Actor-Critic for Average Reward MDPs
  35. NeurIPS 2025On Evaluating Policies for Robust POMDPs
  36. NeurIPS 2025On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
  37. NeurIPS 2025On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
  38. NeurIPS 2025On the Robustness of Transformers against Context Hijacking for Linear Classification
  39. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
  40. NeurIPS 2025On topological descriptors for graph products
  41. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
  42. NeurIPS 2025OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
  43. NeurIPS 2025OpenBox: Annotate Any Bounding Boxes in 3D
  44. NeurIPS 2025OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
  45. NeurIPS 2025Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
  46. NeurIPS 2025Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
  47. NeurIPS 2025Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
  48. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
  49. NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
  50. NeurIPS 2025Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics

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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