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

共 1,405 篇,第 20 / 29 页

  1. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
  2. NeurIPS 2025CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates
  3. NeurIPS 2025Compact Memory for Continual Logistic Regression
  4. NeurIPS 2025Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
  5. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
  6. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
  7. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
  8. NeurIPS 2025Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
  9. NeurIPS 2025Consistency Conditions for Differentiable Surrogate Losses
  10. NeurIPS 2025Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
  11. NeurIPS 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
  12. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
  13. NeurIPS 2025Continuous Diffusion Model for Language Modeling
  14. NeurIPS 2025Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
  15. NeurIPS 2025Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
  16. NeurIPS 2025Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
  17. NeurIPS 2025Coresets for Clustering Under Stochastic Noise
  18. NeurIPS 2025CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
  19. NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
  20. NeurIPS 2025Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
  21. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
  22. NeurIPS 2025CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
  23. NeurIPS 2025CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
  24. NeurIPS 2025CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
  25. NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
  26. NeurIPS 2025Curly Flow Matching for Learning Non-gradient Field Dynamics
  27. NeurIPS 2025CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation
  28. NeurIPS 2025D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
  29. NeurIPS 2025D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
  30. NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
  31. NeurIPS 2025DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
  32. NeurIPS 2025Data-Dependent Regret Bounds for Constrained MABs
  33. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
  34. NeurIPS 2025Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
  35. NeurIPS 2025Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
  36. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
  37. NeurIPS 2025Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
  38. NeurIPS 2025DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
  39. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
  40. NeurIPS 2025DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
  41. NeurIPS 2025Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
  42. NeurIPS 2025Depth-Bounds for Neural Networks via the Braid Arrangement
  43. NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
  44. NeurIPS 2025DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
  45. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
  46. NeurIPS 2025Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
  47. NeurIPS 2025DINGO: Constrained Inference for Diffusion LLMs
  48. NeurIPS 2025Direct Fisher Score Estimation for Likelihood Maximization
  49. NeurIPS 2025DISCO: Disentangled Communication Steering for Large Language Models
  50. NeurIPS 2025Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective

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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