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 7 / 9 页

  1. NeurIPS 2024Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
  2. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
  3. NeurIPS 2024PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
  4. NeurIPS 2024Prospective Learning: Learning for a Dynamic Future
  5. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
  6. NeurIPS 2024Provable Benefits of Complex Parameterizations for Structured State Space Models
  7. NeurIPS 2024PTQ4DiT: Post-training Quantization for Diffusion Transformers
  8. NeurIPS 2024PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
  9. NeurIPS 2024Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
  10. NeurIPS 2024QBB: Quantization with Binary Bases for LLMs
  11. NeurIPS 2024QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
  12. NeurIPS 2024Quantum Deep Equilibrium Models
  13. NeurIPS 2024RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
  14. NeurIPS 2024RedPajama: an Open Dataset for Training Large Language Models
  15. NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
  16. NeurIPS 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
  17. NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
  18. NeurIPS 2024RelBench: A Benchmark for Deep Learning on Relational Databases
  19. NeurIPS 2024Reproducibility of predictive networks for mouse visual cortex
  20. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
  21. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
  22. NeurIPS 2024Rethinking Imbalance in Image Super-Resolution for Efficient Inference
  23. NeurIPS 2024Rethinking the Capacity of Graph Neural Networks for Branching Strategy
  24. NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
  25. NeurIPS 2024Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
  26. NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
  27. NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes
  28. NeurIPS 2024Robustly overfitting latents for flexible neural image compression
  29. NeurIPS 2024ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
  30. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
  31. NeurIPS 2024S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
  32. NeurIPS 2024Saliency-driven Experience Replay for Continual Learning
  33. NeurIPS 2024Sample Complexity of Posted Pricing for a Single Item
  34. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
  35. NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
  36. NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
  37. NeurIPS 2024Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
  38. NeurIPS 2024SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
  39. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
  40. NeurIPS 2024Search for Efficient Large Language Models
  41. NeurIPS 2024Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
  42. NeurIPS 2024Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
  43. NeurIPS 2024Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
  44. NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
  45. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
  46. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
  47. NeurIPS 2024Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
  48. NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
  49. NeurIPS 2024SlimGPT: Layer-wise Structured Pruning for Large Language Models
  50. NeurIPS 2024Sm: enhanced localization in Multiple Instance Learning for medical imaging classification

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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