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 34 / 43 页

  1. NeurIPS 2024Gaussian Process Bandits for Top-k Recommendations
  2. NeurIPS 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation
  3. NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
  4. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
  5. NeurIPS 2024Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
  6. NeurIPS 2024High-probability complexity bounds for stochastic non-convex minimax optimization
  7. NeurIPS 2024HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
  8. NeurIPS 2024HYDRA: Model Factorization Framework for Black-Box LLM Personalization
  9. NeurIPS 2024HydraViT: Stacking Heads for a Scalable ViT
  10. NeurIPS 2024Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection
  11. NeurIPS 2024Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
  12. NeurIPS 2024Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
  13. NeurIPS 2024Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
  14. NeurIPS 2024Improved Algorithms for Contextual Dynamic Pricing
  15. NeurIPS 2024Improved Analysis for Bandit Learning in Matching Markets
  16. NeurIPS 2024Improved Particle Approximation Error for Mean Field Neural Networks
  17. NeurIPS 2024Improved Sample Complexity Bounds for Diffusion Model Training
  18. NeurIPS 2024Improved Sample Complexity for Multiclass PAC Learning
  19. NeurIPS 2024Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes
  20. NeurIPS 2024Initializing Services in Interactive ML Systems for Diverse Users
  21. NeurIPS 2024Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
  22. NeurIPS 2024Interpretable Generalized Additive Models for Datasets with Missing Values
  23. NeurIPS 2024Interpretable Mesomorphic Networks for Tabular Data
  24. NeurIPS 2024Interventionally Consistent Surrogates for Complex Simulation Models
  25. NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
  26. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
  27. NeurIPS 2024IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
  28. NeurIPS 2024Is Score Matching Suitable for Estimating Point Processes?
  29. NeurIPS 2024Is Your HD Map Constructor Reliable under Sensor Corruptions?
  30. NeurIPS 2024Is Your LiDAR Placement Optimized for 3D Scene Understanding?
  31. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
  32. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
  33. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
  34. NeurIPS 2024Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
  35. NeurIPS 2024KFNN: K-Free Nearest Neighbor For Crowdsourcing
  36. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
  37. NeurIPS 2024Label Alignment Regularization for Distribution Shift
  38. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
  39. NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
  40. NeurIPS 2024Learnability Matters: Active Learning for Video Captioning
  41. NeurIPS 2024Learning 3D Garment Animation from Trajectories of A Piece of Cloth
  42. NeurIPS 2024Learning Cooperative Trajectory Representations for Motion Forecasting
  43. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
  44. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
  45. NeurIPS 2024Learning to Handle Complex Constraints for Vehicle Routing Problems
  46. NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
  47. NeurIPS 2024Learning-Augmented Algorithms for the Bahncard Problem
  48. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
  49. NeurIPS 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
  50. NeurIPS 2024LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication

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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