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
- 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
- NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
- 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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
- NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
- CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
- NeurIPS 2025A compressive-expressive communication framework for compositional representations
- ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- ICLR 2025A Truncated Newton Method for Optimal Transport
- CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
- NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
- ICML 2024$H$-Consistency Guarantees for Regression
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
- NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
- CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
- NeurIPS 2026A Bitter Lesson for Data Filtering
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
- CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
全部驾驶仿真论文
共 364 篇，第 4 / 8 页
- CVPR 2024HomoFormer: Homogenized Transformer for Image Shadow Removal
- CVPR 2024Honeybee: Locality-enhanced Projector for Multimodal LLM
- CVPR 2024How to Configure Good In-Context Sequence for Visual Question Answering
- CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
- CVPR 2024Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
- CVPR 2024ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
- CVPR 2024IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration
- CVPR 2024Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
- CVPR 2024Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
- CVPR 2024In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
- CVPR 2024In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
- CVPR 2024Initialization Matters for Adversarial Transfer Learning
- CVPR 2024Inlier Confidence Calibration for Point Cloud Registration
- CVPR 2024Intensity-Robust Autofocus for Spike Camera
- CVPR 2024Intrinsic Image Diffusion for Indoor Single-view Material Estimation
- CVPR 2024IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images
- CVPR 2024Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
- CVPR 2024JointSQ: Joint Sparsification-Quantization for Distributed Learning
- CVPR 2024KeyPoint Relative Position Encoding for Face Recognition
- CVPR 2024L0-Sampler: An L0 Model Guided Volume Sampling for NeRF
- CVPR 2024L2B: Learning to Bootstrap Robust Models for Combating Label Noise
- CVPR 2024LAENeRF: Local Appearance Editing for Neural Radiance Fields
- CVPR 2024LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
- CVPR 2024LAN: Learning to Adapt Noise for Image Denoising
- CVPR 2024Language Models as Black-Box Optimizers for Vision-Language Models
- CVPR 2024LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
- CVPR 2024LEAD: Exploring Logit Space Evolution for Model Selection
- CVPR 2024LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
- CVPR 2024Learned Trajectory Embedding for Subspace Clustering
- CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
- CVPR 2024Learning Degradation-Independent Representations for Camera ISP Pipelines
- CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
- CVPR 2024Learning Diffusion Texture Priors for Image Restoration
- CVPR 2024Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
- CVPR 2024Learning Inclusion Matching for Animation Paint Bucket Colorization
- CVPR 2024Learning to Produce Semi-dense Correspondences for Visual Localization
- CVPR 2024Learning to Transform Dynamically for Better Adversarial Transferability
- CVPR 2024Learning Transferable Negative Prompts for Out-of-Distribution Detection
- CVPR 2024Learning Visual Prompt for Gait Recognition
- CVPR 2024Learning with Structural Labels for Learning with Noisy Labels
- CVPR 2024LEOD: Label-Efficient Object Detection for Event Cameras
- CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
- CVPR 2024LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
- CVPR 2024Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
- CVPR 2024Link-Context Learning for Multimodal LLMs
- CVPR 2024LMDrive: Closed-Loop End-to-End Driving with Large Language Models
- CVPR 2024Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
- CVPR 2024LoCoNet: Long-Short Context Network for Active Speaker Detection
- CVPR 2024Logarithmic Lenses: Exploring Log RGB Data for Image Classification
- CVPR 2024Loopy-SLAM: Dense Neural SLAM with Loop Closures
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"}
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。