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 313 篇，第 5 / 7 页

  1. ICLR 2026OpenThoughts: Data Recipes for Reasoning Models
  2. ICLR 2026Optimal transport unlocks end-to-end learning for single-molecule localization
  3. ICLR 2026OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
  4. ICLR 2026OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs
  5. ICLR 2026Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation
  6. ICLR 2026Overlap-weighted orthogonal meta-learner for treatment effect estimation over time
  7. ICLR 2026Overtone: Cyclic Patch Modulation for Cleaner, Faster Physics Emulators
  8. ICLR 2026P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global Context
  9. ICLR 2026PAC-Bayes bounds for cumulative loss in Continual Learning
  10. ICLR 2026PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
  11. ICLR 2026Panda: A pretrained forecast model for chaotic dynamics
  12. ICLR 2026PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery
  13. ICLR 2026Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RL
  14. ICLR 2026PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
  15. ICLR 2026PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
  16. ICLR 2026PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models
  17. ICLR 2026Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds
  18. ICLR 2026Policy Contrastive Decoding for Robotic Foundation Models
  19. ICLR 2026Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
  20. ICLR 2026Post-training Large Language Models for Diverse High-Quality Responses
  21. ICLR 2026Post-Training Quantization for Video Matting
  22. ICLR 2026Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
  23. ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
  24. ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
  25. ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
  26. ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
  27. ICLR 2026Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
  28. ICLR 2026PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
  29. ICLR 2026Quantitative Bounds for Length Generalization in Transformers
  30. ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
  31. ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
  32. ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
  33. ICLR 2026Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
  34. ICLR 2026RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
  35. ICLR 2026RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
  36. ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
  37. ICLR 2026Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
  38. ICLR 2026Reformulation for Pretraining Data Augmentation
  39. ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
  40. ICLR 2026RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
  41. ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
  42. ICLR 2026Rethinking Code Similarity for Automated Algorithm Design with LLMs
  43. ICLR 2026Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
  44. ICLR 2026Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning
  45. ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
  46. ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
  47. ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
  48. ICLR 2026Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
  49. ICLR 2026Scaling Laws for Diffusion Transformers
  50. ICLR 2026Searching for Privacy Risks in LLM Agents via Simulation

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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