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 219 篇，第 4 / 5 页
- NeurIPS 2023Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
- NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
- NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
- NeurIPS 2023PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
- NeurIPS 2023Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
- NeurIPS 2023Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
- NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
- NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
- NeurIPS 2023Proximity-Informed Calibration for Deep Neural Networks
- NeurIPS 2023Query-based Temporal Fusion with Explicit Motion for 3D Object Detection
- NeurIPS 2023R-divergence for Estimating Model-oriented Distribution Discrepancy
- NeurIPS 2023Random Cuts are Optimal for Explainable k-Medians
- NeurIPS 2023RD-Suite: A Benchmark for Ranking Distillation
- NeurIPS 2023Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
- NeurIPS 2023Renku: a platform for sustainable data science
- NeurIPS 2023Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
- NeurIPS 2023Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
- NeurIPS 2023Reward Imputation with Sketching for Contextual Batched Bandits
- NeurIPS 2023Robust Mean Estimation Without Moments for Symmetric Distributions
- NeurIPS 2023RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
- NeurIPS 2023SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery
- NeurIPS 2023ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
- NeurIPS 2023Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
- NeurIPS 2023Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
- NeurIPS 2023Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
- NeurIPS 2023SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
- NeurIPS 2023Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
- NeurIPS 2023SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
- NeurIPS 2023SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
- NeurIPS 2023SQ Lower Bounds for Learning Mixtures of Linear Classifiers
- NeurIPS 2023SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
- NeurIPS 2023Stability Guarantees for Feature Attributions with Multiplicative Smoothing
- NeurIPS 2023Statistical Knowledge Assessment for Large Language Models
- NeurIPS 2023Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
- NeurIPS 2023Streaming PCA for Markovian Data
- NeurIPS 2023StressID: a Multimodal Dataset for Stress Identification
- NeurIPS 2023Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
- NeurIPS 2023SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
- NeurIPS 2023Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
- NeurIPS 2023SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
- NeurIPS 2023Swarm Reinforcement Learning for Adaptive Mesh Refinement
- NeurIPS 2023Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
- NeurIPS 2023The Cambridge Law Corpus: A Dataset for Legal AI Research
- NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
- NeurIPS 2023The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only
- NeurIPS 2023The Waymo Open Sim Agents Challenge
- NeurIPS 2023Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
- NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
- NeurIPS 2023Toolbox for Multimodal Learn (scikit-multimodallearn)
- NeurIPS 2023Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
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。