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 969 篇，第 14 / 20 页

  1. ICML 2023MyoDex: A Generalizable Prior for Dexterous Manipulation
  2. ICML 2023Near-Optimal Quantum Coreset Construction Algorithms for Clustering
  3. ICML 2023Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
  4. ICML 2023Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
  5. ICML 2023Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
  6. ICML 2023Neural Inverse Operators for Solving PDE Inverse Problems
  7. ICML 2023Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels
  8. ICML 2023NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
  9. ICML 2023Nonparametric Extensions of Randomized Response for Private Confidence Sets
  10. ICML 2023Normalizing Flows for Interventional Density Estimation
  11. ICML 2023OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  12. ICML 2023On Coresets for Clustering in Small Dimensional Euclidean spaces
  13. ICML 2023On Kinetic Optimal Probability Paths for Generative Models
  14. ICML 2023On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
  15. ICML 2023On Provable Copyright Protection for Generative Models
  16. ICML 2023On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
  17. ICML 2023On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
  18. ICML 2023One-Step Estimator for Permuted Sparse Recovery
  19. ICML 2023Optimal Convergence Rates for Agnostic Nyström Kernel Learning
  20. ICML 2023Optimal No-Regret Learning for One-Sided Lipschitz Functions
  21. ICML 2023Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
  22. ICML 2023Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
  23. ICML 2023Optimizing Mode Connectivity for Class Incremental Learning
  24. ICML 2023Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
  25. ICML 2023Parameter-Level Soft-Masking for Continual Learning
  26. ICML 2023Patch-level Contrastive Learning via Positional Query for Visual Pre-training
  27. ICML 2023Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
  28. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
  29. ICML 2023Polynomial Preconditioning for Gradient Methods
  30. ICML 2023Predictable MDP Abstraction for Unsupervised Model-Based RL
  31. ICML 2023Predictive Flows for Faster Ford-Fulkerson
  32. ICML 2023Probabilistic Attention-to-Influence Neural Models for Event Sequences
  33. ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
  34. ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
  35. ICML 2023Prompting Large Language Model for Machine Translation: A Case Study
  36. ICML 2023Proper Losses for Discrete Generative Models
  37. ICML 2023Proper Scoring Rules for Survival Analysis
  38. ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
  39. ICML 2023Provable Benefit of Mixup for Finding Optimal Decision Boundaries
  40. ICML 2023Provable Data Subset Selection For Efficient Neural Networks Training
  41. ICML 2023PWSHAP: A Path-Wise Explanation Model for Targeted Variables
  42. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
  43. ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
  44. ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
  45. ICML 2023Randomized Schur Complement Views for Graph Contrastive Learning
  46. ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
  47. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
  48. ICML 2023Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
  49. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
  50. ICML 2023Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents

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