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 899 篇，第 8 / 18 页

  1. ICLR 2025CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
  2. ICLR 2025CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
  3. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
  4. ICLR 2025Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
  5. ICLR 2025ComLoRA: A Competitive Learning Approach for Enhancing LoRA
  6. ICLR 2025Composable Interventions for Language Models
  7. ICLR 2025Compositional simulation-based inference for time series
  8. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
  9. ICLR 2025Convex Formulations for Training Two-Layer ReLU Neural Networks
  10. ICLR 2025Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
  11. ICLR 2025CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes
  12. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
  13. ICLR 2025Data Selection via Optimal Control for Language Models
  14. ICLR 2025DataMan: Data Manager for Pre-training Large Language Models
  15. ICLR 2025Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
  16. ICLR 2025Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
  17. ICLR 2025Deep Linear Probe Generators for Weight Space Learning
  18. ICLR 2025Deep Random Features for Scalable Interpolation of Spatiotemporal Data
  19. ICLR 2025DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
  20. ICLR 2025Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
  21. ICLR 2025Differentially private learners for heterogeneous treatment effects
  22. ICLR 2025DiffPuter: Empowering Diffusion Models for Missing Data Imputation
  23. ICLR 2025Diffusion State-Guided Projected Gradient for Inverse Problems
  24. ICLR 2025Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
  25. ICLR 2025DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
  26. ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
  27. ICLR 2025Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
  28. ICLR 2025Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
  29. ICLR 2025Distribution-Free Data Uncertainty for Neural Network Regression
  30. ICLR 2025DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
  31. ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
  32. ICLR 2025DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
  33. ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
  34. ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
  35. ICLR 2025Equivariant Neural Functional Networks for Transformers
  36. ICLR 2025Error-quantified Conformal Inference for Time Series
  37. ICLR 2025Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
  38. ICLR 2025Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
  39. ICLR 2025Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
  40. ICLR 2025Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
  41. ICLR 2025FIG: Flow with Interpolant Guidance for Linear Inverse Problems
  42. ICLR 2025Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
  43. ICLR 2025From Commands to Prompts: LLM-based Semantic File System for AIOS
  44. ICLR 2025Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
  45. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
  46. ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
  47. ICLR 2025Glad: A Streaming Scene Generator for Autonomous Driving
  48. ICLR 2025GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
  49. ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
  50. ICLR 2025Harnessing Diversity for Important Data Selection in Pretraining Large Language Models

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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