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 1,214 篇，第 14 / 25 页

  1. ICML 2024A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
  2. ICML 2024A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
  3. ICML 2024A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
  4. ICML 2024A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
  5. ICML 2024Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
  6. ICML 2024Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
  7. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
  8. ICML 2024Active Preference Learning for Large Language Models
  9. ICML 2024Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
  10. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
  11. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
  12. ICML 2024Adaptive Text Watermark for Large Language Models
  13. ICML 2024Adaptively Perturbed Mirror Descent for Learning in Games
  14. ICML 2024Agnostic Sample Compression Schemes for Regression
  15. ICML 2024All-in-one simulation-based inference
  16. ICML 2024AlphaFold Meets Flow Matching for Generating Protein Ensembles
  17. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
  18. ICML 2024An Effective Dynamic Gradient Calibration Method for Continual Learning
  19. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
  20. ICML 2024An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
  21. ICML 2024An LLM Compiler for Parallel Function Calling
  22. ICML 2024Analyzing $D^\alpha$ seeding for $k$-means
  23. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
  24. ICML 2024AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
  25. ICML 2024Arrows of Time for Large Language Models
  26. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
  27. ICML 2024AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
  28. ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
  29. ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
  30. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
  31. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
  32. ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
  33. ICML 2024BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
  34. ICML 2024BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
  35. ICML 2024Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
  36. ICML 2024Best Arm Identification for Stochastic Rising Bandits
  37. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
  38. ICML 2024BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
  39. ICML 2024Bifurcated Attention for Single-Context Large-Batch Sampling
  40. ICML 2024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  41. ICML 2024BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
  42. ICML 2024Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
  43. ICML 2024Borda Regret Minimization for Generalized Linear Dueling Bandits
  44. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
  45. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
  46. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
  47. ICML 2024Can a Few Decide for Many? The Metric Distortion of Sortition
  48. ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
  49. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
  50. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations

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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