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 5,881 篇，第 85 / 118 页

  1. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
  2. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
  3. ICML 2024Can a Few Decide for Many? The Metric Distortion of Sortition
  4. ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
  5. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
  6. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
  7. ICML 2024Collage: Light-Weight Low-Precision Strategy for LLM Training
  8. ICML 2024Compositional Curvature Bounds for Deep Neural Networks
  9. ICML 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
  10. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
  11. ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
  12. ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
  13. ICML 2024Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
  14. ICML 2024Copyright Traps for Large Language Models
  15. ICML 2024Coresets for Multiple $\ell_p$ Regression
  16. ICML 2024Critical feature learning in deep neural networks
  17. ICML 2024CW Complex Hypothesis for Image Data
  18. ICML 2024Data Engineering for Scaling Language Models to 128K Context
  19. ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
  20. ICML 2024Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
  21. ICML 2024Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
  22. ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
  23. ICML 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
  24. ICML 2024DFD: Distilling the Feature Disparity Differently for Detectors
  25. ICML 2024diff History for Neural Language Agents
  26. ICML 2024DiffDA: a Diffusion model for weather-scale Data Assimilation
  27. ICML 2024Differentially private exact recovery for stochastic block models
  28. ICML 2024Differentially Private Post-Processing for Fair Regression
  29. ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
  30. ICML 2024DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
  31. ICML 2024DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
  32. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
  33. ICML 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
  34. ICML 2024DistiLLM: Towards Streamlined Distillation for Large Language Models
  35. ICML 2024Diversified Batch Selection for Training Acceleration
  36. ICML 2024Double Momentum Method for Lower-Level Constrained Bilevel Optimization
  37. ICML 2024Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
  38. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
  39. ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
  40. ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
  41. ICML 2024DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
  42. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
  43. ICML 2024Efficient Error Certification for Physics-Informed Neural Networks
  44. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
  45. ICML 2024ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
  46. ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
  47. ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
  48. ICML 2024Ensemble Pruning for Out-of-distribution Generalization
  49. ICML 2024Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
  50. ICML 2024Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction

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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