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 2,199 篇，第 14 / 44 页

  1. ICLR 2026DeNOTS: Stable Deep Neural ODEs for Time Series
  2. ICLR 2026Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
  3. ICLR 2026DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
  4. ICLR 2026DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
  5. ICLR 2026Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
  6. ICLR 2026Dimension-Free Decision Calibration for Nonlinear Loss Functions
  7. ICLR 2026Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
  8. ICLR 2026Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
  9. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
  10. ICLR 2026DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
  11. ICLR 2026Distributed Algorithms for Euclidean Clustering
  12. ICLR 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
  13. ICLR 2026Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity
  14. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
  15. ICLR 2026dParallel: Learnable Parallel Decoding for dLLMs
  16. ICLR 2026DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
  17. ICLR 2026DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning
  18. ICLR 2026DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
  19. ICLR 2026DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
  20. ICLR 2026DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models
  21. ICLR 2026DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
  22. ICLR 2026e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
  23. ICLR 2026Efficient algorithms for Incremental Metric Bipartite Matching
  24. ICLR 2026Efficient Autoregressive Inference for Transformer Probabilistic Models
  25. ICLR 2026Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
  26. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
  27. ICLR 2026Efficient Submodular Maximization for Sums of Concave over Modular Functions
  28. ICLR 2026Efficient Turing Machine Simulation with Transformers
  29. ICLR 2026EMFuse: Energy-based Model Fusion for Decision Making
  30. ICLR 2026Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents
  31. ICLR 2026Entropy-Based Block Pruning for Efficient Large Language Models
  32. ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
  33. ICLR 2026Evidence for Limited Metacognition in LLMs
  34. ICLR 2026Expert Divergence Learning for MoE-based Language Models
  35. ICLR 2026Exploring State-Space Models for Data-Specific Neural Representations
  36. ICLR 2026FACT: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations
  37. ICLR 2026FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
  38. ICLR 2026Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks
  39. ICLR 2026FIRE: Frobenius-Isometry Reinitialization for Balancing the Stability–Plasticity Tradeoff
  40. ICLR 2026Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
  41. ICLR 2026FlashRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models
  42. ICLR 2026Flatter Tokens are More Valuable for Speculative Draft Model Training
  43. ICLR 2026FLOWER: A Flow-Matching Solver for Inverse Problems
  44. ICLR 2026FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
  45. ICLR 2026Forge: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
  46. ICLR 2026From atom to space: A region-based readout function for spatial properties of materials
  47. ICLR 2026FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
  48. ICLR 2026Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT
  49. ICLR 2026GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
  50. ICLR 2026Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models

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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"}

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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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