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 1,308 篇，第 21 / 27 页

  1. NeurIPS 2024DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
  2. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
  3. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
  4. NeurIPS 2024Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
  5. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
  6. NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
  7. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
  8. NeurIPS 2024Dimension-free Private Mean Estimation for Anisotropic Distributions
  9. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
  10. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
  11. NeurIPS 2024Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
  12. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
  13. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
  14. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
  15. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
  16. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models
  17. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
  18. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
  19. NeurIPS 2024DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
  20. NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
  21. NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
  22. NeurIPS 2024Dynamic 3D Gaussian Fields for Urban Areas
  23. NeurIPS 2024Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
  24. NeurIPS 2024Dynamic Rescaling for Training GNNs
  25. NeurIPS 2024DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
  26. NeurIPS 2024EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
  27. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
  28. NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
  29. NeurIPS 2024Efficiency for Free: Ideal Data Are Transportable Representations
  30. NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
  31. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
  32. NeurIPS 2024Efficient Leverage Score Sampling for Tensor Train Decomposition
  33. NeurIPS 2024Efficient Streaming Algorithms for Graphlet Sampling
  34. NeurIPS 2024Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
  35. NeurIPS 2024EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
  36. NeurIPS 2024einspace: Searching for Neural Architectures from Fundamental Operations
  37. NeurIPS 2024EM Distillation for One-step Diffusion Models
  38. NeurIPS 2024Energy-based Epistemic Uncertainty for Graph Neural Networks
  39. NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
  40. NeurIPS 2024Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
  41. NeurIPS 2024Ensemble sampling for linear bandits: small ensembles suffice
  42. NeurIPS 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
  43. NeurIPS 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
  44. NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
  45. NeurIPS 2024ESPACE: Dimensionality Reduction of Activations for Model Compression
  46. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
  47. NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
  48. NeurIPS 2024Exclusively Penalized Q-learning for Offline Reinforcement Learning
  49. NeurIPS 2024Expert-level protocol translation for self-driving labs
  50. NeurIPS 2024Exploring the Role of Large Language Models in Prompt Encoding for Diffusion 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。

「自动驾驶」下的其他主题