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 410 篇，第 4 / 9 页

  1. NeurIPS 2024Expert-level protocol translation for self-driving labs
  2. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
  3. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
  4. NeurIPS 2024Fast Channel Simulation via Error-Correcting Codes
  5. NeurIPS 2024Fast Rates for Bandit PAC Multiclass Classification
  6. NeurIPS 2024Fast samplers for Inverse Problems in Iterative Refinement models
  7. NeurIPS 2024FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
  8. NeurIPS 2024Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
  9. NeurIPS 2024FinBen: A Holistic Financial Benchmark for Large Language Models
  10. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
  11. NeurIPS 2024Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
  12. NeurIPS 2024FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
  13. NeurIPS 2024Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
  14. NeurIPS 2024Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
  15. NeurIPS 2024FUSE: Fast Unified Simulation and Estimation for PDEs
  16. NeurIPS 2024GACL: Exemplar-Free Generalized Analytic Continual Learning
  17. NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
  18. NeurIPS 2024GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation
  19. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
  20. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
  21. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
  22. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
  23. NeurIPS 2024Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
  24. NeurIPS 2024High-probability complexity bounds for stochastic non-convex minimax optimization
  25. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  26. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
  27. NeurIPS 2024HydraViT: Stacking Heads for a Scalable ViT
  28. NeurIPS 2024Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
  29. NeurIPS 2024Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
  30. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
  31. NeurIPS 2024Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
  32. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
  33. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
  34. NeurIPS 2024Improved Particle Approximation Error for Mean Field Neural Networks
  35. NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
  36. NeurIPS 2024Improved Sample Complexity for Multiclass PAC Learning
  37. NeurIPS 2024Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
  38. NeurIPS 2024Initializing Services in Interactive ML Systems for Diverse Users
  39. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
  40. NeurIPS 2024Interpretable Generalized Additive Models for Datasets with Missing Values
  41. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
  42. NeurIPS 2024Interventionally Consistent Surrogates for Complex Simulation Models
  43. NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
  44. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
  45. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
  46. NeurIPS 2024Is Score Matching Suitable for Estimating Point Processes?
  47. NeurIPS 2024Is Your HD Map Constructor Reliable under Sensor Corruptions?
  48. NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
  49. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
  50. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

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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