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 410 篇，第 8 / 9 页

  1. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
  2. NeurIPS 2024SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
  3. NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
  4. NeurIPS 2024Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
  5. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  6. NeurIPS 2024Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
  7. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
  8. NeurIPS 2024Spectral Editing of Activations for Large Language Model Alignment
  9. NeurIPS 2024Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
  10. NeurIPS 2024Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
  11. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
  12. NeurIPS 2024Statistical-Computational Trade-offs for Density Estimation
  13. NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
  14. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
  15. NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
  16. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
  17. NeurIPS 2024Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
  18. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs
  19. NeurIPS 2024Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
  20. NeurIPS 2024TFG: Unified Training-Free Guidance for Diffusion Models
  21. NeurIPS 2024TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene
  22. NeurIPS 2024The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
  23. NeurIPS 2024The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
  24. NeurIPS 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
  25. NeurIPS 2024Theoretical guarantees in KL for Diffusion Flow Matching
  26. NeurIPS 2024Tight Bounds for Learning RUMs from Small Slates
  27. NeurIPS 2024Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective
  28. NeurIPS 2024TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge
  29. NeurIPS 2024To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
  30. NeurIPS 2024Tolerant Algorithms for Learning with Arbitrary Covariate Shift
  31. NeurIPS 2024TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
  32. NeurIPS 2024Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
  33. NeurIPS 2024Toward Efficient Inference for Mixture of Experts
  34. NeurIPS 2024Towards Universal Mesh Movement Networks
  35. NeurIPS 2024Toxicity Detection for Free
  36. NeurIPS 2024Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes
  37. NeurIPS 2024Transfer Learning for Latent Variable Network Models
  38. NeurIPS 2024Transfer Q-star : Principled Decoding for LLM Alignment
  39. NeurIPS 2024Typicalness-Aware Learning for Failure Detection
  40. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
  41. NeurIPS 2024UniMTS: Unified Pre-training for Motion Time Series
  42. NeurIPS 2024UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
  43. NeurIPS 2024Universal Exact Compression of Differentially Private Mechanisms
  44. NeurIPS 2024Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
  45. NeurIPS 2024Universal Rates for Active Learning
  46. NeurIPS 2024Universal Sample Coding
  47. NeurIPS 2024Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
  48. NeurIPS 2024UrbanDataLayer: A Unified Data Pipeline for Urban Science
  49. NeurIPS 2024Validating Climate Models with Spherical Convolutional Wasserstein Distance
  50. NeurIPS 2024Vector Quantization Prompting for Continual Learning

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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