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 36 / 43 页

  1. NeurIPS 2024On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
  2. NeurIPS 2024On the Power of Small-size Graph Neural Networks for Linear Programming
  3. NeurIPS 2024On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
  4. NeurIPS 2024On Weak Regret Analysis for Dueling Bandits
  5. NeurIPS 2024Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
  6. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
  7. NeurIPS 2024OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
  8. NeurIPS 2024Operator World Models for Reinforcement Learning
  9. NeurIPS 2024Optimal Algorithms for Augmented Testing of Discrete Distributions
  10. NeurIPS 2024Optimal Algorithms for Learning Partitions with Faulty Oracles
  11. NeurIPS 2024Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
  12. NeurIPS 2024Optimal Scalarizations for Sublinear Hypervolume Regret
  13. NeurIPS 2024Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
  14. NeurIPS 2024Oracle-Efficient Reinforcement Learning for Max Value Ensembles
  15. NeurIPS 2024Ordered Momentum for Asynchronous SGD
  16. NeurIPS 2024OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
  17. NeurIPS 2024Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
  18. NeurIPS 2024PAC-Bayes-Chernoff bounds for unbounded losses
  19. NeurIPS 2024PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
  20. NeurIPS 2024PaCE: Parsimonious Concept Engineering for Large Language Models
  21. NeurIPS 2024PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
  22. NeurIPS 2024Paloma: A Benchmark for Evaluating Language Model Fit
  23. NeurIPS 2024Parameter Competition Balancing for Model Merging
  24. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
  25. NeurIPS 2024Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
  26. NeurIPS 2024Periodic agent-state based Q-learning for POMDPs
  27. NeurIPS 2024Perplexity-aware Correction for Robust Alignment with Noisy Preferences
  28. NeurIPS 2024Persistent Homology for High-dimensional Data Based on Spectral Methods
  29. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
  30. NeurIPS 2024Policy Optimization for Robust Average Reward MDPs
  31. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
  32. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
  33. NeurIPS 2024Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
  34. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
  35. NeurIPS 2024PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
  36. NeurIPS 2024Prospective Learning: Learning for a Dynamic Future
  37. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
  38. NeurIPS 2024Provable Benefits of Complex Parameterizations for Structured State Space Models
  39. NeurIPS 2024PTQ4DiT: Post-training Quantization for Diffusion Transformers
  40. NeurIPS 2024PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
  41. NeurIPS 2024Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
  42. NeurIPS 2024QBB: Quantization with Binary Bases for LLMs
  43. NeurIPS 2024QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
  44. NeurIPS 2024Quantum Deep Equilibrium Models
  45. NeurIPS 2024RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
  46. NeurIPS 2024RedPajama: an Open Dataset for Training Large Language Models
  47. NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
  48. NeurIPS 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
  49. NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
  50. NeurIPS 2024RelBench: A Benchmark for Deep Learning on Relational Databases

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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