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 940 篇，第 6 / 19 页

  1. NeurIPS 2026Diffusion Masked Pretraining for Dynamic Point Cloud
  2. NeurIPS 2026Dimension Bounds for Contractive Reservoir Computing from Input Entropy
  3. NeurIPS 2026Direct Conditional Parameterization for N-Dimensional Splatting
  4. NeurIPS 2026Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
  5. NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
  6. NeurIPS 2026DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning
  7. NeurIPS 2026Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules
  8. NeurIPS 2026Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
  9. NeurIPS 2026Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
  10. NeurIPS 2026DiversePlace: Diversity-Seeking Curriculum Reinforcement Learning for Macro Placement
  11. NeurIPS 2026Diversity Maximization: Algorithms for Distant $k$-Subsets
  12. NeurIPS 2026DMax: Aggressive Parallel Decoding for dLLMs
  13. NeurIPS 2026DoFP-Aligned Lookup Tables for Real-Time Polarization Demosaicking
  14. NeurIPS 2026Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
  15. NeurIPS 2026Don't Waste Population: Post-Anneal Refinement for Combinatorial Optimization
  16. NeurIPS 2026DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
  17. NeurIPS 2026DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
  18. NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
  19. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
  20. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
  21. NeurIPS 2026Driving on Memory
  22. NeurIPS 2026Driving Video Retrieval for Complex Queries with Structured Grounding
  23. NeurIPS 2026DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
  24. NeurIPS 2026DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
  25. NeurIPS 2026DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
  26. NeurIPS 2026DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards
  27. NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
  28. NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
  29. NeurIPS 2026DynamAuction: a reinforcement learning environment for repeated auction with dynamic value
  30. NeurIPS 2026Dynamic Quadtree Tokenization for Autoregressive PDE Forecasting
  31. NeurIPS 2026Dynamic Query as Budgeting for Tiny Object Detection
  32. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
  33. NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
  34. NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
  35. NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
  36. NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
  37. NeurIPS 2026Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
  38. NeurIPS 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
  39. NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
  40. NeurIPS 2026Efficient Algorithms for Distributed Saddle Problems
  41. NeurIPS 2026Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces
  42. NeurIPS 2026Efficient Decoder Scaling Strategy for Constructive Neural Routing Solvers
  43. NeurIPS 2026Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
  44. NeurIPS 2026EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
  45. NeurIPS 2026EgoSurgHands: An Egocentric 3D Hand Pose Dataset & Benchmark for Open-Surgery Training
  46. NeurIPS 2026EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries
  47. NeurIPS 2026EM-NeSy: Expectation Maximization for Neurosymbolic Learning
  48. NeurIPS 2026EMA-Nesterov: Stabilizing Nesterov's Lookahead for Accelerated Deep Learning Optimization
  49. NeurIPS 2026Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers
  50. NeurIPS 2026EMO: Pretraining Mixture of Experts for Emergent Modularity

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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