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 9 / 25 页

  1. ICML 2025C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
  2. ICML 2025Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
  3. ICML 2025Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
  4. ICML 2025Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
  5. ICML 2025Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?
  6. ICML 2025CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
  7. ICML 2025Channel Normalization for Time Series Channel Identification
  8. ICML 2025CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
  9. ICML 2025COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
  10. ICML 2025CommVQ: Commutative Vector Quantization for KV Cache Compression
  11. ICML 2025Conformity Score Averaging for Classification
  12. ICML 2025Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
  13. ICML 2025ConText: Driving In-context Learning for Text Removal and Segmentation
  14. ICML 2025Contextual Bandits for Unbounded Context Distributions
  15. ICML 2025Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
  16. ICML 2025Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
  17. ICML 2025Cover learning for large-scale topology representation
  18. ICML 2025Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
  19. ICML 2025Curvature Enhanced Data Augmentation for Regression
  20. ICML 2025Curvature-aware Graph Attention for PDEs on Manifolds
  21. ICML 2025Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
  22. ICML 2025Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
  23. ICML 2025Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
  24. ICML 2025De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
  25. ICML 2025Decoupled SGDA for Games with Intermittent Strategy Communication
  26. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
  27. ICML 2025Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
  28. ICML 2025Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
  29. ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
  30. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
  31. ICML 2025DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
  32. ICML 2025DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
  33. ICML 2025Differential Coding for Training-Free ANN-to-SNN Conversion
  34. ICML 2025Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
  35. ICML 2025Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
  36. ICML 2025Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials
  37. ICML 2025Doubly Robust Fusion of Many Treatments for Policy Learning
  38. ICML 2025DriveGPT: Scaling Autoregressive Behavior Models for Driving
  39. ICML 2025Efficient Diffusion Models for Symmetric Manifolds
  40. ICML 2025ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
  41. ICML 2025Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
  42. ICML 2025EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
  43. ICML 2025EPIC: Efficient Position-Independent Caching for Serving Large Language Models
  44. ICML 2025EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
  45. ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
  46. ICML 2025Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
  47. ICML 2025Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
  48. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
  49. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
  50. ICML 2025Federated In-Context Learning: Iterative Refinement for Improved Answer 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。

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