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 40 / 44 页

  1. NeurIPS 2026RB-LDC: Redundancy-Balanced Latent Coding for Robust Diffusion
  2. NeurIPS 2026Readiness-Aware Sample Selection for Noisy Labels with Class Imbalance
  3. NeurIPS 2026RECIPE: Learning to Rank Complete Precursor Sets for Inorganic Retrosynthesis
  4. NeurIPS 2026Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
  5. NeurIPS 2026RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation
  6. NeurIPS 2026Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing
  7. NeurIPS 2026Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
  8. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
  9. NeurIPS 2026Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution
  10. NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
  11. NeurIPS 2026REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
  12. NeurIPS 2026RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
  13. NeurIPS 2026Regularization Paths for Continuous DAG Learning
  14. NeurIPS 2026Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning
  15. NeurIPS 2026RelAgent: LLM Agents as Data Scientists for Relational Learning
  16. NeurIPS 2026Relevance Is Not Necessity: Selecting the Necessary API Set for Tool-Using LLMs
  17. NeurIPS 2026RelFlexformer: Efficient Attention Transformers for Integrable Relative Positional Encodings
  18. NeurIPS 2026Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory
  19. NeurIPS 2026ReorgGS: Equivalent Distribution Reorganization for 3D Gaussian Splatting
  20. NeurIPS 2026Replicas-as-Variables: A Planner for Throughput-Optimal Routing in LLM Deployment
  21. NeurIPS 2026Representation Forcing for Bottleneck-Free Unified Multimodal Models
  22. NeurIPS 2026Representation Preconditioning for Efficient Diffusion Model Training
  23. NeurIPS 2026ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation
  24. NeurIPS 2026Resilient Latent Readouts for Long-Context Question Answering
  25. NeurIPS 2026ResKV: Residual-based Channel-wise Unstructured Pruning for KV Cache Compression
  26. NeurIPS 2026Retain-Neutral Surrogates for Min-Max Unlearning
  27. NeurIPS 2026Rethinking Attention in Depth for Operator Learning
  28. NeurIPS 2026Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
  29. NeurIPS 2026Rethinking Softmax Attention: Polynomial Activations for Transformers
  30. NeurIPS 2026Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction
  31. NeurIPS 2026RETR: A Structure-Preserving RGB-Event Transformer for Robust 3D Lane Detection
  32. NeurIPS 2026Revisiting Autoregressive GCNs for Vehicle Routing Problems
  33. NeurIPS 2026Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios
  34. NeurIPS 2026Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
  35. NeurIPS 2026Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
  36. NeurIPS 2026Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection
  37. NeurIPS 2026Reward Inflation: A Healthy Stimulus for Reinforcement Learning
  38. NeurIPS 2026Reward Is Not a Universal Interface for Generative Reinforcement Learning
  39. NeurIPS 2026Reward-Estimated Hypergradient for Bilevel Reinforcement Learning with Black-Box Follower
  40. NeurIPS 2026RGF: Recursive Generative Framework for the Edge-Cut Separable Problems
  41. NeurIPS 2026RL Excursions during Pre-training: How early is too early for on-policy learning?
  42. NeurIPS 2026RL-Guided Contraction of Symbolic Tensor Networks for Quantum Circuit Equivalence
  43. NeurIPS 2026Robust Amortized Simulation-Based Inference via Learned Error Models
  44. NeurIPS 2026Robust Approximate Nearest Neighbor Search for Any Dataset
  45. NeurIPS 2026Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures
  46. NeurIPS 2026Robust Offline Reinforcement Learning against Out-of-Distribution Dynamics in Autonomous Driving
  47. NeurIPS 2026Robust Residual Correction via Selective Deployment for Time Series Forecasting
  48. NeurIPS 2026ROCKET: Rapid Optimization via Calibration-guided Knapsack-Enhanced Truncation for Efficient Model Compression
  49. NeurIPS 2026ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
  50. NeurIPS 2026RSPO: Reasoning-Supervised Policy Optimization for Long-Tail Autonomous Driving

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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