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 5,881 篇，第 111 / 118 页
- ICML 2023Exphormer: Sparse Transformers for Graphs
- ICML 2023Exponential Smoothing for Off-Policy Learning
- ICML 2023Extrapolated Random Tree for Regression
- ICML 2023Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
- ICML 2023Fast Algorithms for Distributed k-Clustering with Outliers
- ICML 2023Fast Combinatorial Algorithms for Min Max Correlation Clustering
- ICML 2023Fast Rates for Maximum Entropy Exploration
- ICML 2023Federated Conformal Predictors for Distributed Uncertainty Quantification
- ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
- ICML 2023Fractional Denoising for 3D Molecular Pre-training
- ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
- ICML 2023Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
- ICML 2023GC-Flow: A Graph-Based Flow Network for Effective Clustering
- ICML 2023GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models
- ICML 2023Generalization Analysis for Contrastive Representation Learning
- ICML 2023Generalized Teacher Forcing for Learning Chaotic Dynamics
- ICML 2023Generating Language Corrections for Teaching Physical Control Tasks
- ICML 2023GFlowNet-EM for Learning Compositional Latent Variable Models
- ICML 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
- ICML 2023Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
- ICML 2023Global optimality for Euclidean CCCP under Riemannian convexity
- ICML 2023GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
- ICML 2023Gradient Descent Converges Linearly for Logistic Regression on Separable Data
- ICML 2023Gradient-based Wang--Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
- ICML 2023Group Equivariant Fourier Neural Operators for Partial Differential Equations
- ICML 2023H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features
- ICML 2023Half-Hop: A graph upsampling approach for slowing down message passing
- ICML 2023Hiding Data Helps: On the Benefits of Masking for Sparse Coding
- ICML 2023High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
- ICML 2023How Jellyfish Characterise Alternating Group Equivariant Neural Networks
- ICML 2023How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
- ICML 2023How to address monotonicity for model risk management?
- ICML 2023Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
- ICML 2023Identifying Useful Learnwares for Heterogeneous Label Spaces
- ICML 2023Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
- ICML 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
- ICML 2023Improved Algorithms for White-Box Adversarial Streams
- ICML 2023Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
- ICML 2023Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
- ICML 2023Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
- ICML 2023Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
- ICML 2023Interval Bound Interpolation for Few-shot Learning with Few Tasks
- ICML 2023Is Learning Summary Statistics Necessary for Likelihood-free Inference?
- ICML 2023Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation
- ICML 2023Learning Affinity with Hyperbolic Representation for Spatial Propagation
- ICML 2023Learning Deep Time-index Models for Time Series Forecasting
- ICML 2023Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
- ICML 2023Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
- ICML 2023LookupFFN: Making Transformers Compute-lite for CPU inference
- ICML 2023Looped Transformers as Programmable Computers
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。