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 32 / 43 页

  1. NeurIPS 2024Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
  2. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
  3. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
  4. NeurIPS 2024CiteME: Can Language Models Accurately Cite Scientific Claims?
  5. NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
  6. NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
  7. NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
  8. NeurIPS 2024Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
  9. NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
  10. NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
  11. NeurIPS 2024Collaboration! Towards Robust Neural Methods for Routing Problems
  12. NeurIPS 2024Collaborative Refining for Learning from Inaccurate Labels
  13. NeurIPS 2024CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
  14. NeurIPS 2024ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
  15. NeurIPS 2024Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
  16. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
  17. NeurIPS 2024Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
  18. NeurIPS 2024Consensus Learning with Deep Sets for Essential Matrix Estimation
  19. NeurIPS 2024Consistency Models for Scalable and Fast Simulation-Based Inference
  20. NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
  21. NeurIPS 2024Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
  22. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
  23. NeurIPS 2024Credal Deep Ensembles for Uncertainty Quantification
  24. NeurIPS 2024Croissant: A Metadata Format for ML-Ready Datasets
  25. NeurIPS 2024CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
  26. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
  27. NeurIPS 2024D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
  28. NeurIPS 2024DAGER: Exact Gradient Inversion for Large Language Models
  29. NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
  30. NeurIPS 2024Data subsampling for Poisson regression with pth-root-link
  31. NeurIPS 2024DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
  32. NeurIPS 2024DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
  33. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
  34. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
  35. NeurIPS 2024DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
  36. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
  37. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
  38. NeurIPS 2024Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
  39. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
  40. NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
  41. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
  42. NeurIPS 2024Dimension-free Private Mean Estimation for Anisotropic Distributions
  43. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
  44. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
  45. NeurIPS 2024Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
  46. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
  47. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
  48. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
  49. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
  50. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models

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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