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 1,214 篇，第 16 / 25 页

  1. ICML 2024Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
  2. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
  3. ICML 2024Fast Sampling-Based Sketches for Tensors
  4. ICML 2024Feature Importance Disparities for Data Bias Investigations
  5. ICML 2024Feel-Good Thompson Sampling for Contextual Dueling Bandits
  6. ICML 2024Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
  7. ICML 2024Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
  8. ICML 2024Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
  9. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
  10. ICML 2024Flexible Residual Binarization for Image Super-Resolution
  11. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
  12. ICML 2024FrameQuant: Flexible Low-Bit Quantization for Transformers
  13. ICML 2024From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
  14. ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
  15. ICML 2024Gambling-Based Confidence Sequences for Bounded Random Vectors
  16. ICML 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation
  17. ICML 2024Generalized Neural Collapse for a Large Number of Classes
  18. ICML 2024Generalized Sobolev Transport for Probability Measures on a Graph
  19. ICML 2024Generalizing Orthogonalization for Models with Non-Linearities
  20. ICML 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
  21. ICML 2024GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
  22. ICML 2024Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
  23. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
  24. ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
  25. ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
  26. ICML 2024HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
  27. ICML 2024Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
  28. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
  29. ICML 2024High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
  30. ICML 2024Homomorphism Counts for Graph Neural Networks: All About That Basis
  31. ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
  32. ICML 2024Hybrid Neural Representations for Spherical Data
  33. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
  34. ICML 2024Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
  35. ICML 2024Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
  36. ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
  37. ICML 2024Improving Gradient-Guided Nested Sampling for Posterior Inference
  38. ICML 2024In-context Learning on Function Classes Unveiled for Transformers
  39. ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
  40. ICML 2024Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
  41. ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
  42. ICML 2024Interpretable Deep Clustering for Tabular Data
  43. ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
  44. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
  45. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
  46. ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
  47. ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
  48. ICML 2024Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
  49. ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
  50. ICML 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

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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