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 1,308 篇，第 23 / 27 页

  1. NeurIPS 2024KFNN: K-Free Nearest Neighbor For Crowdsourcing
  2. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
  3. NeurIPS 2024Label Alignment Regularization for Distribution Shift
  4. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
  5. NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
  6. NeurIPS 2024Learnability Matters: Active Learning for Video Captioning
  7. NeurIPS 2024Learning 3D Garment Animation from Trajectories of A Piece of Cloth
  8. NeurIPS 2024Learning Cooperative Trajectory Representations for Motion Forecasting
  9. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
  10. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
  11. NeurIPS 2024Learning to Handle Complex Constraints for Vehicle Routing Problems
  12. NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
  13. NeurIPS 2024Learning-Augmented Algorithms for the Bahncard Problem
  14. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
  15. NeurIPS 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
  16. NeurIPS 2024LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication
  17. NeurIPS 2024LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
  18. NeurIPS 2024Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
  19. NeurIPS 2024Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
  20. NeurIPS 2024Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
  21. NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
  22. NeurIPS 2024Low Degree Hardness for Broadcasting on Trees
  23. NeurIPS 2024MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
  24. NeurIPS 2024MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
  25. NeurIPS 2024MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
  26. NeurIPS 2024MARPLE: A Benchmark for Long-Horizon Inference
  27. NeurIPS 2024MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
  28. NeurIPS 2024Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
  29. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  30. NeurIPS 2024MatFormer: Nested Transformer for Elastic Inference
  31. NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
  32. NeurIPS 2024Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
  33. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
  34. NeurIPS 2024Mercury: A Code Efficiency Benchmark for Code Large Language Models
  35. NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
  36. NeurIPS 2024Metric Flow Matching for Smooth Interpolations on the Data Manifold
  37. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
  38. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
  39. NeurIPS 2024MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
  40. NeurIPS 2024Mixture of Demonstrations for In-Context Learning
  41. NeurIPS 2024MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
  42. NeurIPS 2024MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
  43. NeurIPS 2024Motion Forecasting in Continuous Driving
  44. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
  45. NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
  46. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
  47. NeurIPS 2024NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
  48. NeurIPS 2024Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
  49. NeurIPS 2024NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
  50. NeurIPS 2024Neural Collapse To Multiple Centers For Imbalanced Data

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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