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 2,199 篇，第 42 / 44 页

  1. NeurIPS 2026SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
  2. NeurIPS 2026SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization
  3. NeurIPS 2026Spectral Insights from the Unconstrained Feature Model for Neural Multi-Output Regression
  4. NeurIPS 2026Spectral Quantum Memory for Implicit Neural Representations
  5. NeurIPS 2026Spectral Representations for Provably Robust Offline Meta-Reinforcement Learning from Bagged Rewards
  6. NeurIPS 2026Spectral Unlearning: Transformer Structure-Preserving Updates for Language Model
  7. NeurIPS 2026Spherical Flows for Sampling Categorical Data
  8. NeurIPS 2026Spikes as Detectors: Phase-Conditioned Spiking Dynamics for Time-Series Anomaly Detection
  9. NeurIPS 2026Spiking neural network initialization for scale-invariant maximization of entropy
  10. NeurIPS 2026SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
  11. NeurIPS 2026Split Then Select: Moment-Preserving Density Control for Generalized Primitive Splatting
  12. NeurIPS 2026SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving
  13. NeurIPS 2026SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
  14. NeurIPS 2026SSDGExplainer: Structure-Semantic Dual-Guided Explainer for Graph Neural Networks
  15. NeurIPS 2026Stability Regimes for Framing-Sensitive Fine-Tuning in Language Models
  16. NeurIPS 2026Stabilizing RL+Search for Imperfect-Information Extensive-Form Games
  17. NeurIPS 2026Stable and Scalable Probabilistic Numerical Solvers for Stiff and High-Dimensional ODEs
  18. NeurIPS 2026Stable Partial Order Constraints for Temporal Causal Structure Learning
  19. NeurIPS 2026StableVQ: Practical Guidelines for Stable Vector-Quantized Tokenizer Training
  20. NeurIPS 2026StainNFT: Curriculum-Gated Multi-Reward Post-Training for Pathology-Faithful Virtual Staining
  21. NeurIPS 2026STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens
  22. NeurIPS 2026StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios
  23. NeurIPS 2026STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
  24. NeurIPS 2026State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking
  25. NeurIPS 2026Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models
  26. NeurIPS 2026Statistical Mixing Guarantees for Contractive Echo State Networks
  27. NeurIPS 2026Statistical Query Lower Bounds for Smoothed Agnostic Learning
  28. NeurIPS 2026STEER: Route-Aware Adaptive Reasoning for Autonomous Driving
  29. NeurIPS 2026Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models
  30. NeurIPS 2026Stein Transport for Generative Modeling
  31. NeurIPS 2026STEP: Learning STructured Embeddings for Progressive Time Series
  32. NeurIPS 2026Sticky Jump Diffusions: A Unifying Framework for Discrete, Continuous, and Hybrid Diffusion
  33. NeurIPS 2026Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization
  34. NeurIPS 2026Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
  35. NeurIPS 2026Stochastic Reconfiguration as Statistical Filtering for Overparameterized Neural Quantum States
  36. NeurIPS 2026Stop Quantum Machine Learning; do AI-for-Quantum instead
  37. NeurIPS 2026Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
  38. NeurIPS 2026StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models
  39. NeurIPS 2026Stroke-Audited Quadratic Bezier Splatting with Structural Initialization for Efficient Painting Rendering
  40. NeurIPS 2026StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
  41. NeurIPS 2026Structural Support Certificates for Mechanistic Hypothesis Selection
  42. NeurIPS 2026Structured Coupling for Flow Matching
  43. NeurIPS 2026Structured Masked Diffusion for Joint Multiuser Decoding
  44. NeurIPS 2026Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
  45. NeurIPS 2026Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference
  46. NeurIPS 2026Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification
  47. NeurIPS 2026Subspace-Guided Continual Learning: Hessian Based Stable–Plastic Decomposition for Exemplar-Free Class-Incremental Learning
  48. NeurIPS 2026SudoBench: A Contextual Authorization Benchmark for LLM Agents
  49. NeurIPS 2026Support Mismatch as a Benchmark Failure Mode for In-Context Prediction
  50. NeurIPS 2026Susceptibilities for Neural Networks Learning from Physical Data

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。

「自动驾驶」下的其他主题