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 969 篇，第 11 / 20 页
- ICLR 2023Sequential Gradient Coding For Straggler Mitigation
- ICLR 2023Sequential Learning of Neural Networks for Prequential MDL
- ICLR 2023Serving Graph Compression for Graph Neural Networks
- ICLR 2023Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
- ICLR 2023SIMPLE: A Gradient Estimator for k-Subset Sampling
- ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
- ICLR 2023Sparse tree-based Initialization for Neural Networks
- ICLR 2023Spiking Convolutional Neural Networks for Text Classification
- ICLR 2023Squeeze Training for Adversarial Robustness
- ICLR 2023Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
- ICLR 2023StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
- ICLR 2023Statistical Guarantees for Consensus Clustering
- ICLR 2023Statistical Inference for Fisher Market Equilibrium
- ICLR 2023Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
- ICLR 2023Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
- ICLR 2023TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
- ICLR 2023TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
- ICLR 2023Temperature Schedules for self-supervised contrastive methods on long-tail data
- ICLR 2023Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
- ICLR 2023Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
- ICLR 2023The In-Sample Softmax for Offline Reinforcement Learning
- ICLR 2023The KFIoU Loss for Rotated Object Detection
- ICLR 2023The Lie Derivative for Measuring Learned Equivariance
- ICLR 2023This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
- ICLR 2023Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
- ICLR 2023Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
- ICLR 2023Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
- ICLR 2023Valid P-Value for Deep Learning-driven Salient Region
- ICLR 2023Versatile Neural Processes for Learning Implicit Neural Representations
- ICLR 2023VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
- ICLR 2023Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
- ICLR 2023Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
- ICML 2023A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
- ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
- ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
- ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
- ICML 2023A Model-Based Method for Minimizing CVaR and Beyond
- ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
- ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
- ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
- ICML 2023A New PHO-rmula for Improved Performance of Semi-Structured Networks
- ICML 2023A Reinforcement Learning Framework for Dynamic Mediation Analysis
- ICML 2023A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
- ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
- ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
- ICML 2023A Watermark for Large Language 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。