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 31 / 43 页

  1. NeurIPS 2024A Metalearned Neural Circuit for Nonparametric Bayesian Inference
  2. NeurIPS 2024A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
  3. NeurIPS 2024A Modular Conditional Diffusion Framework for Image Reconstruction
  4. NeurIPS 2024A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
  5. NeurIPS 2024A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
  6. NeurIPS 2024A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
  7. NeurIPS 2024A Siamese Transformer with Hierarchical Refinement for Lane Detection
  8. NeurIPS 2024A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
  9. NeurIPS 2024A Theoretical Perspective for Speculative Decoding Algorithm
  10. NeurIPS 2024A two-scale Complexity Measure for Deep Learning Models
  11. NeurIPS 2024A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch
  12. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
  13. NeurIPS 2024A Universal Growth Rate for Learning with Smooth Surrogate Losses
  14. NeurIPS 2024Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
  15. NeurIPS 2024Acoustic Volume Rendering for Neural Impulse Response Fields
  16. NeurIPS 2024Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
  17. NeurIPS 2024AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
  18. NeurIPS 2024AdjointDEIS: Efficient Gradients for Diffusion Models
  19. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
  20. NeurIPS 2024Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
  21. NeurIPS 2024Alignment for Honesty
  22. NeurIPS 2024AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
  23. NeurIPS 2024Amortized Eigendecomposition for Neural Networks
  24. NeurIPS 2024Amortized Fourier Neural Operators
  25. NeurIPS 2024An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
  26. NeurIPS 2024An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
  27. NeurIPS 2024An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
  28. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
  29. NeurIPS 2024Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
  30. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
  31. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
  32. NeurIPS 2024APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
  33. NeurIPS 2024Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering
  34. NeurIPS 2024Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
  35. NeurIPS 2024Are Multiple Instance Learning Algorithms Learnable for Instances?
  36. NeurIPS 2024Assemblage: Automatic Binary Dataset Construction for Machine Learning
  37. NeurIPS 2024Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
  38. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
  39. NeurIPS 2024Banded Square Root Matrix Factorization for Differentially Private Model Training
  40. NeurIPS 2024BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
  41. NeurIPS 2024Belief-State Query Policies for User-Aligned POMDPs
  42. NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
  43. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
  44. NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
  45. NeurIPS 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
  46. NeurIPS 2024BiDM: Pushing the Limit of Quantization for Diffusion Models
  47. NeurIPS 2024BMRS: Bayesian Model Reduction for Structured Pruning
  48. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
  49. NeurIPS 2024Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
  50. NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference

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