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 89 / 118 页
- ICML 2024Position: Is machine learning good or bad for the natural sciences?
- ICML 2024Position: Levels of AGI for Operationalizing Progress on the Path to AGI
- ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
- ICML 2024Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy
- ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
- ICML 2024Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
- ICML 2024Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
- ICML 2024Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
- ICML 2024Position: Tensor Networks are a Valuable Asset for Green AI
- ICML 2024Position: The Reasonable Person Standard for AI
- ICML 2024Position: Topological Deep Learning is the New Frontier for Relational Learning
- ICML 2024Position: Video as the New Language for Real-World Decision Making
- ICML 2024Practical Performance Guarantees for Pipelined DNN Inference
- ICML 2024Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
- ICML 2024Predictive Linear Online Tracking for Unknown Targets
- ICML 2024PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
- ICML 2024PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
- ICML 2024Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- ICML 2024Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
- ICML 2024Prompt Sketching for Large Language Models
- ICML 2024Prompt-tuning Latent Diffusion Models for Inverse Problems
- ICML 2024Prospective Side Information for Latent MDPs
- ICML 2024Prospector Heads: Generalized Feature Attribution for Large Models & Data
- ICML 2024ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data
- ICML 2024Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
- ICML 2024Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
- ICML 2024Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
- ICML 2024Q-value Regularized Transformer for Offline Reinforcement Learning
- ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
- ICML 2024Quantum Positional Encodings for Graph Neural Networks
- ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
- ICML 2024QuRating: Selecting High-Quality Data for Training Language Models
- ICML 2024Randomized Confidence Bounds for Stochastic Partial Monitoring
- ICML 2024Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
- ICML 2024Recurrent Early Exits for Federated Learning with Heterogeneous Clients
- ICML 2024Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
- ICML 2024ReLUs Are Sufficient for Learning Implicit Neural Representations
- ICML 2024REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
- ICML 2024Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
- ICML 2024Restoring balance: principled under/oversampling of data for optimal classification
- ICML 2024Revisiting the Power of Prompt for Visual Tuning
- ICML 2024Reweighted Solutions for Weighted Low Rank Approximation
- ICML 2024RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
- ICML 2024RoboDreamer: Learning Compositional World Models for Robot Imagination
- ICML 2024RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
- ICML 2024Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
- ICML 2024Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
- ICML 2024Sample Complexity Bounds for Estimating Probability Divergences under Invariances
- ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
- ICML 2024Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
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。