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 41 / 43 页

  1. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
  2. NeurIPS 2023Learning Curves for Deep Structured Gaussian Feature Models
  3. NeurIPS 2023Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
  4. NeurIPS 2023Learning Motion Refinement for Unsupervised Face Animation
  5. NeurIPS 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
  6. NeurIPS 2023Learning Robust Statistics for Simulation-based Inference under Model Misspecification
  7. NeurIPS 2023Learning to Group Auxiliary Datasets for Molecule
  8. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
  9. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
  10. NeurIPS 2023Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
  11. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
  12. NeurIPS 2023Many-body Approximation for Non-negative Tensors
  13. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
  14. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
  15. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
  16. NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
  17. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
  18. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
  19. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
  20. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
  21. NeurIPS 2023Moral Responsibility for AI Systems
  22. NeurIPS 2023Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
  23. NeurIPS 2023Nearly Optimal Bounds for Cyclic Forgetting
  24. NeurIPS 2023Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
  25. NeurIPS 2023Neural Lighting Simulation for Urban Scenes
  26. NeurIPS 2023New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
  27. NeurIPS 2023No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
  28. NeurIPS 2023Nonparametric Teaching for Multiple Learners
  29. NeurIPS 2023Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
  30. NeurIPS 2023Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
  31. NeurIPS 2023On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
  32. NeurIPS 2023On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
  33. NeurIPS 2023One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
  34. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
  35. NeurIPS 2023Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
  36. NeurIPS 2023OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
  37. NeurIPS 2023Operation-Level Early Stopping for Robustifying Differentiable NAS
  38. NeurIPS 2023Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
  39. NeurIPS 2023Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
  40. NeurIPS 2023Optimized Covariance Design for AB Test on Social Network under Interference
  41. NeurIPS 2023Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
  42. NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
  43. NeurIPS 2023Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
  44. NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
  45. NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
  46. NeurIPS 2023PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
  47. NeurIPS 2023Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
  48. NeurIPS 2023Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
  49. NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
  50. NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

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。

「自动驾驶」下的其他主题