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 218 篇，第 4 / 5 页
- ICML 2023Progressive Purification for Instance-Dependent Partial Label Learning
- ICML 2023Projected Tensor Power Method for Hypergraph Community Recovery
- ICML 2023Prompting Large Language Model for Machine Translation: A Case Study
- ICML 2023Proper Losses for Discrete Generative Models
- ICML 2023Proper Scoring Rules for Survival Analysis
- ICML 2023Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist
- ICML 2023Provable Benefit of Mixup for Finding Optimal Decision Boundaries
- ICML 2023Provable Data Subset Selection For Efficient Neural Networks Training
- ICML 2023PWSHAP: A Path-Wise Explanation Model for Targeted Variables
- ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
- ICML 2023Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
- ICML 2023Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
- ICML 2023Randomized Schur Complement Views for Graph Contrastive Learning
- ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
- ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
- ICML 2023Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
- ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
- ICML 2023Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents
- ICML 2023Regret-Minimizing Double Oracle for Extensive-Form Games
- ICML 2023Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- ICML 2023Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
- ICML 2023Resurrecting Recurrent Neural Networks for Long Sequences
- ICML 2023Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
- ICML 2023Revisiting Bellman Errors for Offline Model Selection
- ICML 2023Revisiting Simple Regret: Fast Rates for Returning a Good Arm
- ICML 2023RGE: A Repulsive Graph Rectification for Node Classification via Influence
- ICML 2023Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
- ICML 2023Scaling Laws for Reward Model Overoptimization
- ICML 2023Scaling of Class-wise Training Losses for Post-hoc Calibration
- ICML 2023SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
- ICML 2023Sequential Predictive Conformal Inference for Time Series
- ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
- ICML 2023Set-membership Belief State-based Reinforcement Learning for POMDPs
- ICML 2023Shapley Based Residual Decomposition for Instance Analysis
- ICML 2023Sharper Bounds for $\ell_p$ Sensitivity Sampling
- ICML 2023Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
- ICML 2023Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
- ICML 2023SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
- ICML 2023Smart Initial Basis Selection for Linear Programs
- ICML 2023SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
- ICML 2023Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
- ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
- ICML 2023Stochastic Gradient Succeeds for Bandits
- ICML 2023Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
- ICML 2023Synthetic data for model selection
- ICML 2023Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
- ICML 2023Temporal Label Smoothing for Early Event Prediction
- ICML 2023The Benefits of Mixup for Feature Learning
- ICML 2023The case for 4-bit precision: k-bit Inference Scaling Laws
- ICML 2023The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data
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。