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 2,199 篇，第 41 / 44 页
- NeurIPS 2026Rubato: Signature Attention for Irregular Multivariate Time Series Forecasting
- NeurIPS 2026RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
- NeurIPS 2026S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF
- NeurIPS 2026SAFE-FEC: Semantically Constrained Adversarial Frontier Evolution for Factual Error Correction
- NeurIPS 2026SAFE-Hair: Scalp-Anchored Fields for Exportable Single-View Hair Reconstruction
- NeurIPS 2026SAFTAC: Simulation-Augmented Fine-Tuning of Open-Source LLMs for Analog Circuit Design
- NeurIPS 2026Salvation Lies Within: Proactive Prefix Re-forming for LLM-based Tagging
- NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
- NeurIPS 2026SAVE: Sparsity-Aware Influence Estimation for Vocabulary-Expanded LLMs
- NeurIPS 2026Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
- NeurIPS 2026Scale-Invariant Empirical-Bayes Laplace Approximation for ReLU Networks
- NeurIPS 2026Scaling Laws for SAE Training Data
- NeurIPS 2026Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
- NeurIPS 2026SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
- NeurIPS 2026SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
- NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
- NeurIPS 2026SD-Search: Hindsight Self-Distillation for Search-Augmented Reasoning
- NeurIPS 2026Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
- NeurIPS 2026SEISMOS: A Statistical Signal Detection Framework for Semantic Chunking
- NeurIPS 2026Self-Programmed Execution for Language-Model Agents
- NeurIPS 2026SETA: Scaling Environments for Terminal Agents
- NeurIPS 2026SGEvolve: Semantic Gradient Guidance for LLM-Driven Evolutionary Search
- NeurIPS 2026SH$^2$: A Mathematician-Curated benchmark for Assessing Research-level Math Capabilities of LLMs
- NeurIPS 2026Shared Modular Recurrence in Contextual MDPs for Universal Morphology Control
- NeurIPS 2026Shared-Noise Mechanisms for Verifiable Differentially Private Counting
- NeurIPS 2026Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
- NeurIPS 2026Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
- NeurIPS 2026Should We Pay This Much for Robustness? Efficient Proxy Certificates with Marginal Guarantees
- NeurIPS 2026Signed-Permutation Coordinate Transport for RMSNorm Transformers
- NeurIPS 2026Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs
- NeurIPS 2026Simulation-aided Reinforcement Learning with Control Variates
- NeurIPS 2026Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
- NeurIPS 2026SIRAS: Sibling-Relative Advantage Shaping for Reinforcement Learning from Verifiable Rewards
- NeurIPS 2026SkillOpt: Executive Strategy for Self-Evolving Agent Skills
- NeurIPS 2026SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement Learning
- NeurIPS 2026SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data
- NeurIPS 2026Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints
- NeurIPS 2026SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
- NeurIPS 2026SOAR: Regression-based LiDAR Relocalization for UAVs
- NeurIPS 2026SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
- NeurIPS 2026SoDeArena: A Socially-Situated Reasoning Benchmark for Large Language Models
- NeurIPS 2026Solver-as-Teacher: Solver-Guided On-Policy Post-Training Framework for PDE Foundation Models
- NeurIPS 2026Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
- NeurIPS 2026SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
- NeurIPS 2026SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning
- NeurIPS 2026SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
- NeurIPS 2026SpaG-DiT: Enhancing Spatial Grounding for Diffusion Transformers
- NeurIPS 2026Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache
- NeurIPS 2026Sparse Internal Control of Language Models
- NeurIPS 2026Sparse Sum-of-Squares Layers for Certified Learning
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。