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 40 / 43 页

  1. NeurIPS 2023Dynamically Masked Discriminator for GANs
  2. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
  3. NeurIPS 2023Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
  4. NeurIPS 2023Efficient Subgame Refinement for Extensive-form Games
  5. NeurIPS 2023Energy-based learning algorithms for analog computing: a comparative study
  6. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
  7. NeurIPS 2023Entropy-based Training Methods for Scalable Neural Implicit Samplers
  8. NeurIPS 2023Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
  9. NeurIPS 2023Error Bounds for Learning with Vector-Valued Random Features
  10. NeurIPS 2023ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
  11. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
  12. NeurIPS 2023Expressivity-Preserving GNN Simulation
  13. NeurIPS 2023False Discovery Proportion control for aggregated Knockoffs
  14. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
  15. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
  16. NeurIPS 2023Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
  17. NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
  18. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
  19. NeurIPS 2023Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
  20. NeurIPS 2023Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
  21. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
  22. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
  23. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
  24. NeurIPS 2023Focused Transformer: Contrastive Training for Context Scaling
  25. NeurIPS 2023Formalizing locality for normative synaptic plasticity models
  26. NeurIPS 2023Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
  27. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
  28. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
  29. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
  30. NeurIPS 2023Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
  31. NeurIPS 2023GPEX, A Framework For Interpreting Artificial Neural Networks
  32. NeurIPS 2023Greedy Poisson Rejection Sampling
  33. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
  34. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
  35. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
  36. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
  37. NeurIPS 2023HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
  38. NeurIPS 2023Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
  39. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
  40. NeurIPS 2023Implicit Convolutional Kernels for Steerable CNNs
  41. NeurIPS 2023Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
  42. NeurIPS 2023InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
  43. NeurIPS 2023Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
  44. NeurIPS 2023Is Learning in Games Good for the Learners?
  45. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
  46. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
  47. NeurIPS 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
  48. NeurIPS 2023L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
  49. NeurIPS 2023LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
  50. NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction

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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