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 17 / 29 页

  1. ICML 2025Runtime Analysis of Evolutionary NAS for Multiclass Classification
  2. ICML 2025SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
  3. ICML 2025Sample-specific Noise Injection for Diffusion-based Adversarial Purification
  4. ICML 2025Scalable First-order Method for Certifying Optimal k-Sparse GLMs
  5. ICML 2025Scalable Sobolev IPM for Probability Measures on a Graph
  6. ICML 2025Secant Line Search for Frank-Wolfe Algorithms
  7. ICML 2025Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
  8. ICML 2025Selective Response Strategies for GenAI
  9. ICML 2025Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
  10. ICML 2025Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
  11. ICML 2025Signed Laplacians for Constrained Graph Clustering
  12. ICML 2025Simple Path Structural Encoding for Graph Transformers
  13. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
  14. ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
  15. ICML 2025Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
  16. ICML 2025SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  17. ICML 2025SlimLLM: Accurate Structured Pruning for Large Language Models
  18. ICML 2025Softmax is not Enough (for Sharp Size Generalisation)
  19. ICML 2025Sparse-pivot: Dynamic correlation clustering for node insertions
  20. ICML 2025SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
  21. ICML 2025Speeding up Policy Simulation in Supply Chain RL
  22. ICML 2025Statistical Test for Feature Selection Pipelines by Selective Inference
  23. ICML 2025Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
  24. ICML 2025Steerable Transformers for Volumetric Data
  25. ICML 2025Stochastic Encodings for Active Feature Acquisition
  26. ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
  27. ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
  28. ICML 2025SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
  29. ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
  30. ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
  31. ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
  32. ICML 2025The Case for Learned Provenance-based System Behavior Baseline
  33. ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
  34. ICML 2025The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
  35. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
  36. ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
  37. ICML 2025The Role of Sparsity for Length Generalization in LLMs
  38. ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
  39. ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
  40. ICML 2025To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
  41. ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
  42. ICML 2025TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
  43. ICML 2025Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
  44. ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
  45. ICML 2025Trajectory World Models for Heterogeneous Environments
  46. ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
  47. ICML 2025TS-SNN: Temporal Shift Module for Spiking Neural Networks
  48. ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
  49. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
  50. ICML 2025Uncertainty Quantification for LLM-Based Survey Simulations

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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