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 2,111 篇，第 30 / 43 页
- NeurIPS 2025Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
- NeurIPS 2025TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks
- NeurIPS 2025UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
- NeurIPS 2025Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
- NeurIPS 2025Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
- NeurIPS 2025Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
- NeurIPS 2025Unfolding the Black Box of Recurrent Neural Networks for Path Integration
- NeurIPS 2025Unified Scaling Laws for Compressed Representations
- NeurIPS 2025Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
- NeurIPS 2025UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
- NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
- NeurIPS 2025Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning
- NeurIPS 2025UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
- NeurIPS 2025V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
- NeurIPS 2025Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
- NeurIPS 2025Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
- NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
- NeurIPS 2025VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
- NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
- NeurIPS 2025Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
- NeurIPS 2025What Matters in Data for DPO?
- NeurIPS 2025When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses
- NeurIPS 2025When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
- NeurIPS 2025Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems
- NeurIPS 2025Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion
- NeurIPS 2025With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
- NeurIPS 2025Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications
- NeurIPS 2025X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
- NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
- NeurIPS 2025ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention
- NeurIPS 2025ZeroS: Zero‑Sum Linear Attention for Efficient Transformers
- NeurIPS 2025ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
- NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
- NeurIPS 2024$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
- NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
- NeurIPS 2024$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
- NeurIPS 2024$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
- NeurIPS 20244-bit Shampoo for Memory-Efficient Network Training
- NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
- NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
- NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
- NeurIPS 2024A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
- NeurIPS 2024A Compositional Atlas for Algebraic Circuits
- NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
- NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
- NeurIPS 2024A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
- NeurIPS 2024A generalized neural tangent kernel for surrogate gradient learning
- NeurIPS 2024A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
- NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
- NeurIPS 2024A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
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。