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 1,308 篇,第 8 / 27 页

  1. CVPR 2024VLP: Vision Language Planning for Autonomous Driving
  2. CVPR 2024VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
  3. CVPR 2024VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos
  4. CVPR 2024WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
  5. CVPR 2024WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
  6. CVPR 2024Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
  7. CVPR 2024What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation
  8. CVPR 2024What Sketch Explainability Really Means for Downstream Tasks?
  9. CVPR 2024What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
  10. CVPR 2024WinSyn: : A High Resolution Testbed for Synthetic Data
  11. CVPR 2024WorDepth: Variational Language Prior for Monocular Depth Estimation
  12. CVPR 2024X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
  13. CVPR 2024XFeat: Accelerated Features for Lightweight Image Matching
  14. CVPR 2024Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning
  15. ICLR 2024$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning
  16. ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
  17. ICLR 2024A 2-Dimensional State Space Layer for Spatial Inductive Bias
  18. ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
  19. ICLR 2024A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
  20. ICLR 2024A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
  21. ICLR 2024A Differentially Private Clustering Algorithm for Well-Clustered Graphs
  22. ICLR 2024A Hierarchical Bayesian Model for Few-Shot Meta Learning
  23. ICLR 2024A Quadratic Synchronization Rule for Distributed Deep Learning
  24. ICLR 2024A Semantic Invariant Robust Watermark for Large Language Models
  25. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
  26. ICLR 2024Accurate Forgetting for Heterogeneous Federated Continual Learning
  27. ICLR 2024Adaptive Regret for Bandits Made Possible: Two Queries Suffice
  28. ICLR 2024AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
  29. ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
  30. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
  31. ICLR 2024AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
  32. ICLR 2024An Efficient Tester-Learner for Halfspaces
  33. ICLR 2024An Emulator for Fine-tuning Large Language Models using Small Language Models
  34. ICLR 2024An Unforgeable Publicly Verifiable Watermark for Large Language Models
  35. ICLR 2024ASID: Active Exploration for System Identification in Robotic Manipulation
  36. ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
  37. ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
  38. ICLR 2024BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
  39. ICLR 2024Bayesian Coreset Optimization for Personalized Federated Learning
  40. ICLR 2024BENO: Boundary-embedded Neural Operators for Elliptic PDEs
  41. ICLR 2024Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
  42. ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
  43. ICLR 2024CausalLM is not optimal for in-context learning
  44. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
  45. ICLR 2024Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
  46. ICLR 2024ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
  47. ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
  48. ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
  49. ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
  50. ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality

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。

「自动驾驶」下的其他主题