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 8 / 25 页
- ICML 2026Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
- ICML 2026UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
- ICML 2026UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
- ICML 2026Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization
- ICML 2026VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning
- ICML 2026VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs
- ICML 2026VGGT-Motion: Motion-Aware Calibration-Free Monocular SLAM for Long-Range Consistency
- ICML 2026WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
- ICML 2026WebWorld: A Large-Scale World Model for Web Agent Training
- ICML 2026Weight Updates as Activation Shifts: A Principled Framework for Steering
- ICML 2026WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport
- ICML 2026Why ReLU? A Bit-Model Dichotomy for Deep Network Training
- ICML 2026WUSH: Near-Optimal Adaptive Transforms for LLM Quantization
- ICML 2025(How) Do Language Models Track State?
- ICML 2025A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
- ICML 2025A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
- ICML 2025A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
- ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
- ICML 2025A Market for Accuracy: Classification Under Competition
- ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
- ICML 2025A Near Linear Query Lower Bound for Submodular Maximization
- ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- ICML 2025A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data
- ICML 2025A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward
- ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
- ICML 2025A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
- ICML 2025A Trichotomy for List Transductive Online Learning
- ICML 2025A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
- ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
- ICML 2025Adaptive Self-improvement LLM Agentic System for ML Library Development
- ICML 2025Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
- ICML 2025Adjustment for Confounding using Pre-Trained Representations
- ICML 2025Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge
- ICML 2025Adversarial Inputs for Linear Algebra Backends
- ICML 2025am-ELO: A Stable Framework for Arena-based LLM Evaluation
- ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
- ICML 2025An Efficient Pruner for Large Language Model with Theoretical Guarantee
- ICML 2025An Entropy-Based Model for Hierarchical Learning
- ICML 2025An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
- ICML 2025An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
- ICML 2025AuPair: Golden Example Pairs for Code Repair
- ICML 2025Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
- ICML 2025AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
- ICML 2025Autoencoder-Based Hybrid Replay for Class-Incremental Learning
- ICML 2025Average Certified Radius is a Poor Metric for Randomized Smoothing
- ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
- ICML 2025Beyond One-Hot Labels: Semantic Mixing for Model Calibration
- ICML 2025Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
- ICML 2025BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
- ICML 2025BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference
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。