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 35 / 43 页

  1. NeurIPS 2024LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
  2. NeurIPS 2024Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
  3. NeurIPS 2024Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
  4. NeurIPS 2024Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
  5. NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
  6. NeurIPS 2024Low Degree Hardness for Broadcasting on Trees
  7. NeurIPS 2024MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
  8. NeurIPS 2024MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
  9. NeurIPS 2024MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
  10. NeurIPS 2024MARPLE: A Benchmark for Long-Horizon Inference
  11. NeurIPS 2024MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
  12. NeurIPS 2024Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
  13. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  14. NeurIPS 2024MatFormer: Nested Transformer for Elastic Inference
  15. NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
  16. NeurIPS 2024Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
  17. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
  18. NeurIPS 2024Mercury: A Code Efficiency Benchmark for Code Large Language Models
  19. NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
  20. NeurIPS 2024Metric Flow Matching for Smooth Interpolations on the Data Manifold
  21. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
  22. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
  23. NeurIPS 2024MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
  24. NeurIPS 2024Mixture of Demonstrations for In-Context Learning
  25. NeurIPS 2024MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
  26. NeurIPS 2024MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
  27. NeurIPS 2024Motion Forecasting in Continuous Driving
  28. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
  29. NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
  30. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
  31. NeurIPS 2024NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
  32. NeurIPS 2024Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
  33. NeurIPS 2024NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
  34. NeurIPS 2024Neural Collapse To Multiple Centers For Imbalanced Data
  35. NeurIPS 2024Neural Conditional Probability for Uncertainty Quantification
  36. NeurIPS 2024Neural Experts: Mixture of Experts for Implicit Neural Representations
  37. NeurIPS 2024Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
  38. NeurIPS 2024Neural Isometries: Taming Transformations for Equivariant ML
  39. NeurIPS 2024NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
  40. NeurIPS 2024NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning
  41. NeurIPS 2024NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
  42. NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
  43. NeurIPS 2024Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
  44. NeurIPS 2024NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  45. NeurIPS 2024Norms for Managing Datasets: A Systematic Review of NeurIPS Datasets
  46. NeurIPS 2024Not All Tokens Are What You Need for Pretraining
  47. NeurIPS 2024ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
  48. NeurIPS 2024Oja's Algorithm for Streaming Sparse PCA
  49. NeurIPS 2024On Divergence Measures for Training GFlowNets
  50. NeurIPS 2024On Sampling Strategies for Spectral Model Sharding

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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