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 2,111 篇，第 37 / 43 页

  1. NeurIPS 2024Reproducibility of predictive networks for mouse visual cortex
  2. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
  3. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
  4. NeurIPS 2024Rethinking Imbalance in Image Super-Resolution for Efficient Inference
  5. NeurIPS 2024Rethinking the Capacity of Graph Neural Networks for Branching Strategy
  6. NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
  7. NeurIPS 2024Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
  8. NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
  9. NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes
  10. NeurIPS 2024Robustly overfitting latents for flexible neural image compression
  11. NeurIPS 2024ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
  12. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
  13. NeurIPS 2024S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
  14. NeurIPS 2024Saliency-driven Experience Replay for Continual Learning
  15. NeurIPS 2024Sample Complexity of Posted Pricing for a Single Item
  16. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
  17. NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
  18. NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
  19. NeurIPS 2024Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
  20. NeurIPS 2024SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
  21. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
  22. NeurIPS 2024Search for Efficient Large Language Models
  23. NeurIPS 2024Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
  24. NeurIPS 2024Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
  25. NeurIPS 2024Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
  26. NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
  27. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
  28. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
  29. NeurIPS 2024Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
  30. NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
  31. NeurIPS 2024SlimGPT: Layer-wise Structured Pruning for Large Language Models
  32. NeurIPS 2024Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
  33. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
  34. NeurIPS 2024SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
  35. NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
  36. NeurIPS 2024Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
  37. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
  38. NeurIPS 2024Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
  39. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
  40. NeurIPS 2024Spectral Editing of Activations for Large Language Model Alignment
  41. NeurIPS 2024Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
  42. NeurIPS 2024Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
  43. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
  44. NeurIPS 2024Statistical-Computational Trade-offs for Density Estimation
  45. NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
  46. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
  47. NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
  48. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
  49. NeurIPS 2024Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
  50. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs

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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