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 1,308 篇，第 9 / 27 页

  1. ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
  2. ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
  3. ICLR 2024Differentiable Euler Characteristic Transforms for Shape Classification
  4. ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
  5. ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
  6. ICLR 2024Diffusion Model for Dense Matching
  7. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
  8. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
  9. ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
  10. ICLR 2024EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
  11. ICLR 2024Empirical Likelihood for Fair Classification
  12. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
  13. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
  14. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
  15. ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
  16. ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
  17. ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
  18. ICLR 2024FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
  19. ICLR 2024Fine-Tuning Language Models for Factuality
  20. ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
  21. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
  22. ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
  23. ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
  24. ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
  25. ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
  26. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
  27. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
  28. ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
  29. ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
  30. ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
  31. ICLR 2024Identifying Representations for Intervention Extrapolation
  32. ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
  33. ICLR 2024Improved Techniques for Training Consistency Models
  34. ICLR 2024In defense of parameter sharing for model-compression
  35. ICLR 2024Input-gradient space particle inference for neural network ensembles
  36. ICLR 2024Intelligent Switching for Reset-Free RL
  37. ICLR 2024Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
  38. ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
  39. ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
  40. ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
  41. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
  42. ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
  43. ICLR 2024Large Language Models as Generalizable Policies for Embodied Tasks
  44. ICLR 2024Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
  45. ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
  46. ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
  47. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
  48. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
  49. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
  50. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation

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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