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 1,405 篇，第 14 / 29 页

  1. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
  2. ICML 2025Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
  3. ICML 2025Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
  4. ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
  5. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
  6. ICML 2025DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
  7. ICML 2025DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
  8. ICML 2025Differential Coding for Training-Free ANN-to-SNN Conversion
  9. ICML 2025Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
  10. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
  11. ICML 2025Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials
  12. ICML 2025Doubly Robust Fusion of Many Treatments for Policy Learning
  13. ICML 2025DriveGPT: Scaling Autoregressive Behavior Models for Driving
  14. ICML 2025Efficient Diffusion Models for Symmetric Manifolds
  15. ICML 2025ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
  16. ICML 2025Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
  17. ICML 2025EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
  18. ICML 2025EPIC: Efficient Position-Independent Caching for Serving Large Language Models
  19. ICML 2025EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
  20. ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
  21. ICML 2025Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
  22. ICML 2025Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
  23. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
  24. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
  25. ICML 2025Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
  26. ICML 2025Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
  27. ICML 2025FlatQuant: Flatness Matters for LLM Quantization
  28. ICML 2025Flexible Tails for Normalizing Flows
  29. ICML 2025Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
  30. ICML 2025Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
  31. ICML 2025Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
  32. ICML 2025From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
  33. ICML 2025GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
  34. ICML 2025Gap-Dependent Bounds for Federated $Q$-Learning
  35. ICML 2025GaussMark: A Practical Approach for Structural Watermarking of Language Models
  36. ICML 2025Generalization Analysis for Controllable Learning
  37. ICML 2025Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
  38. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
  39. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
  40. ICML 2025GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
  41. ICML 2025GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
  42. ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
  43. ICML 2025Gradient-based Explanations for Deep Learning Survival Models
  44. ICML 2025Gridded Transformer Neural Processes for Spatio-Temporal Data
  45. ICML 2025Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
  46. ICML 2025Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
  47. ICML 2025HashAttention: Semantic Sparsity for Faster Inference
  48. ICML 2025Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
  49. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
  50. ICML 2025High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions

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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