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 940 篇,第 7 / 19 页
- NeurIPS 2026Enabling Denoising Score Matching Type Training for Manifold Diffusion Model via Momentum and Splitting
- NeurIPS 2026EngramState: Loadable Tool Priors for Efficient Function Calling
- NeurIPS 2026Entropy Distribution as a Fingerprint for Hallucinations in Generative Models
- NeurIPS 2026Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
- NeurIPS 2026Epigenomics-Guided Flow Matching for 3D Genome Super-Resolution
- NeurIPS 2026Error-Guided Bellman Calibration for Semi-Offline Value Estimation
- NeurIPS 2026Euler-Mamba: Learning Resolution-Invariant State Evolution on Polar Manifolds for Asymmetric Pansharpening
- NeurIPS 2026Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity
- NeurIPS 2026Evaluating Synthetic ECG Pretraining: When Can Patient-Free Simulators Substitute for Real ECG Data?
- NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
- NeurIPS 2026Even More Guarantees for Variational Inference in the Presence of Symmetries
- NeurIPS 2026Evidential Semantic Uncertainty Decomposition for Large Language Models
- NeurIPS 2026Exact Gaussian Moment Matching for Residual Networks: a Second-Order Method
- NeurIPS 2026Exact Posterior Score Estimation for Solving Linear Inverse Problems
- NeurIPS 2026Exactness Matters for Physical Rule Enforcement
- NeurIPS 2026Explanations over Graphs: An Agent Architecture for IT Enterprise Diagnostic Tasks
- NeurIPS 2026Exploring the Epipolar Consistency for Light Field Deraining
- NeurIPS 2026Exponential Map Models as an Interpretable Framework for Generating Neural Spatial Representations
- NeurIPS 2026Fail-Closed Alignment for Large Language Models
- NeurIPS 2026Fast Algorithms for the Label Propagation Operator on Signed Graphs
- NeurIPS 2026Fast Alignment of Embeddings: Computational Guarantees for Anisotropic Procrustes-Wasserstein
- NeurIPS 2026Fast Gauss-Newton for Multiclass Cross-Entropy
- NeurIPS 2026Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
- NeurIPS 2026Faster Rates For Federated Variational Inequalities
- NeurIPS 2026FEAD: Fine-Grained Epipolar Attention Diffusion for Large-Disparity Light Field Spatial Super-Resolution
- NeurIPS 2026FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
- NeurIPS 2026Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
- NeurIPS 2026FedPeel: Peeling Stabilized Layers for Robust Heterogeneous Federated Learning
- NeurIPS 2026Feedforward Novel View Synthesis for Heterogeneous Cameras
- NeurIPS 2026FENet: Functional Embedding Neural Network for Change-Point Detection in Functional Time Series
- NeurIPS 2026fev-bench: A Realistic Benchmark for Time Series Forecasting
- NeurIPS 2026FFTSparse: Relative-Position Correlation Guided Sparse Attention for Long-Context Language Models
- NeurIPS 2026FiedlerPrune: Connectivity-Preserving Cross-Layer Pruning for Large Language Models
- NeurIPS 2026FineRMoE: Dimension Expansion for Finer-Grained Expert with an Upcycling Approach
- NeurIPS 2026FinReasoning: A Hierarchical Benchmark for Reliable Financial Research Reporting
- NeurIPS 2026FlashPlanner: Real-Time Goal-Conditioned Flow-Matching Planning for Autonomous Driving with Online RL Fine-Tuning
- NeurIPS 2026FlashSSM-3D: A Distilled State Space Model for Lightning-Fast Dense 3D Reconstruction
- NeurIPS 2026Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems
- NeurIPS 2026Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
- NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
- NeurIPS 2026Flow-Transformed Implicit Processes for Function-Space Variational Inference
- NeurIPS 2026FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
- NeurIPS 2026Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials
- NeurIPS 2026Focus on Where You Aggregate: Restricted SAM for Non-IID Federated Learning
- NeurIPS 2026Forward Shapley Scoring for Non-Myopic Active Feature Acquisition
- NeurIPS 2026Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
- NeurIPS 2026FRESCO: A Novel Consistency Control for Asynchronous Pipeline Parallel Training
- NeurIPS 2026From Approximation to Computation: Universal Power of Deep Narrow Networks at Constant Width
- NeurIPS 2026From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology
- NeurIPS 2026From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents
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。