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 1,214 篇，第 4 / 25 页

  1. ICML 2026Geometry-based Schrödinger Bridges for Trustworthy Multimodal Fusion
  2. ICML 2026GI-GCN: Global Interacted Graph Convolutional Networks via Dominant Sets for Graph Classification
  3. ICML 2026Global Policy-Space Response Oracles for Two-Player Zero-Sum Games
  4. ICML 2026GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific Signatures
  5. ICML 2026GradPower: Powering Gradients for Faster Language Model Pre-Training
  6. ICML 2026Graph Rewiring based on Flow Alignment for Improving Fluid Simulation
  7. ICML 2026Grounding LLMs in Scientific Discovery via Embodied Actions
  8. ICML 2026GRPO-based Cluster Decision Agent for Unknown-$\boldsymbol{K}$ Multi-view Clustering
  9. ICML 2026GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache
  10. ICML 2026Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing
  11. ICML 2026Harmonized Dual Policy Improvement for Modelic Reinforcement Learning
  12. ICML 2026HelioX: A GPU-Native Framework for Simulation and Training of Biophysically Detailed Networks
  13. ICML 2026Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs
  14. ICML 2026Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
  15. ICML 2026HieraScaffold: Learning Compact Hierarchical Representations for Scalable 4D LiDAR Generation
  16. ICML 2026Higher-Order Certified Robustness for Regression
  17. ICML 2026HOBIT: Hardness Optimized Batch Sampling for InfoNCE Training
  18. ICML 2026Holonomy Grid Codes for Generalisation Under Directed Actions
  19. ICML 2026Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning
  20. ICML 2026HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning
  21. ICML 2026Identifiable Token Correspondence for World Models
  22. ICML 2026Implicit Action Chunking for Smooth Continuous Control
  23. ICML 2026Improved Dynamic Algorithm for Non-monotone Submodular Maximization under Cardinality Constraint
  24. ICML 2026Instance-Level Costs for Nuanced Classifier Evaluation
  25. ICML 2026Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models
  26. ICML 2026Is the Last Layer Sufficient for Uncertainty Quantification?
  27. ICML 2026Kernel-based Maximum-of-difference Test for Two-sample Comparison
  28. ICML 2026LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
  29. ICML 2026LASER: Learning Active Sensing for Continuum Field Reconstruction
  30. ICML 2026LassoFlexNet: a Flexible Neural Architecture for Tabular Data
  31. ICML 2026Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
  32. ICML 2026LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
  33. ICML 2026Learning Biophysical Models of Large-Scale Multineuronal Data To Enable Precise Neurostimulation
  34. ICML 2026Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
  35. ICML 2026Learning Global Representation from Queries for Vectorized HD Map Construction
  36. ICML 2026Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels
  37. ICML 2026Learning More from Less: Unlocking Internal Representations for Benchmark Compression
  38. ICML 2026Learning Normalized Energy Models for Linear Inverse Problems
  39. ICML 2026Learning Treatment Representations for Downstream Instrumental Variable Regression
  40. ICML 2026Learning What to Generate: A Reinforcement Learning-based Closed-Loop Augmentation Framework for Person Re-identification
  41. ICML 2026Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers
  42. ICML 2026Length Generalization Bounds for Transformers
  43. ICML 2026Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
  44. ICML 2026Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq Data
  45. ICML 2026Likelihood Matching for Diffusion Models
  46. ICML 2026LLM Priors for ERM over Programs
  47. ICML 2026LLM-Guided Loop Bound Generation for Program Termination Verification
  48. ICML 2026Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation
  49. ICML 2026Local MAP Sampling for Diffusion Models
  50. ICML 2026Lower Bounds for Frank-Wolfe on Strongly Convex Sets

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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