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 24 / 43 页

  1. NeurIPS 2025Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
  2. NeurIPS 2025Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
  3. NeurIPS 2025GMM-based VAE model with Normalising Flow for effective stochastic segmentation
  4. NeurIPS 2025Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
  5. NeurIPS 2025GradMetaNet: An Equivariant Architecture for Learning on Gradients
  6. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
  7. NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
  8. NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
  9. NeurIPS 2025Group-Level Data Selection for Efficient Pretraining
  10. NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
  11. NeurIPS 2025Gymnasium: A Standard Interface for Reinforcement Learning Environments
  12. NeurIPS 2025GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
  13. NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
  14. NeurIPS 2025Hankel Singular Value Regularization for Highly Compressible State Space Models
  15. NeurIPS 2025HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
  16. NeurIPS 2025HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
  17. NeurIPS 2025HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
  18. NeurIPS 2025Hierarchical Implicit Neural Emulators
  19. NeurIPS 2025HoliTom: Holistic Token Merging for Fast Video Large Language Models
  20. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
  21. NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
  22. NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
  23. NeurIPS 2025Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
  24. NeurIPS 2025Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
  25. NeurIPS 2025Hyperbolic Fine-Tuning for Large Language Models
  26. NeurIPS 2025Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
  27. NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization
  28. NeurIPS 2025Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
  29. NeurIPS 2025Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards
  30. NeurIPS 2025Improved Training Technique for Shortcut Models
  31. NeurIPS 2025Improving Bilinear RNN with Closed-loop Control
  32. NeurIPS 2025INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
  33. NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
  34. NeurIPS 2025InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
  35. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
  36. NeurIPS 2025InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
  37. NeurIPS 2025Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
  38. NeurIPS 2025Integration Matters for Learning PDEs with Backwards SDEs
  39. NeurIPS 2025Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
  40. NeurIPS 2025Inverse Methods for Missing Data Imputation
  41. NeurIPS 2025Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
  42. NeurIPS 2025Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
  43. NeurIPS 2025Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
  44. NeurIPS 2025KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
  45. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
  46. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
  47. NeurIPS 2025KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
  48. NeurIPS 2025LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents
  49. NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
  50. NeurIPS 2025Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression

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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