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 1,214 篇，第 13 / 25 页
- ICML 2025Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
- ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
- ICML 2025SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
- ICML 2025TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
- ICML 2025Taming Diffusion for Dataset Distillation with High Representativeness
- ICML 2025Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
- ICML 2025The Case for Learned Provenance-based System Behavior Baseline
- ICML 2025The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
- ICML 2025The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
- ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
- ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
- ICML 2025The Role of Sparsity for Length Generalization in LLMs
- ICML 2025The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
- ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
- ICML 2025To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
- ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
- ICML 2025TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
- ICML 2025Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
- ICML 2025Towards Better-than-2 Approximation for Constrained Correlation Clustering
- ICML 2025Trajectory World Models for Heterogeneous Environments
- ICML 2025Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
- ICML 2025TS-SNN: Temporal Shift Module for Spiking Neural Networks
- ICML 2025TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
- ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
- ICML 2025Uncertainty Quantification for LLM-Based Survey Simulations
- ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
- ICML 2025Unified Screening for Multiple Diseases
- ICML 2025Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
- ICML 2025UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
- ICML 2025Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
- ICML 2025Unnatural Languages Are Not Bugs but Features for LLMs
- ICML 2025Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
- ICML 2025VinePPO: Refining Credit Assignment in RL Training of LLMs
- ICML 2025Volume-Aware Distance for Robust Similarity Learning
- ICML 2025WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
- ICML 2025WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
- ICML 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
- ICML 2025WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
- ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
- ICML 2024$H$-Consistency Guarantees for Regression
- ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
- ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
- ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
- ICML 2024A fast algorithm to simulate nonlinear resistive networks
- ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
- ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
- ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
- ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
- ICML 2024A Provable Decision Rule for Out-of-Distribution Detection
- ICML 2024A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
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。