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 5,881 篇，第 81 / 118 页
- ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
- ICLR 2024COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
- ICLR 2024Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
- ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
- ICLR 2024Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
- ICLR 2024Delta-AI: Local objectives for amortized inference in sparse graphical models
- ICLR 2024Differentiable Euler Characteristic Transforms for Shape Classification
- ICLR 2024Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks
- ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
- ICLR 2024Diffusion Model for Dense Matching
- ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
- ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
- ICLR 2024Diverse Projection Ensembles for Distributional Reinforcement Learning
- ICLR 2024EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
- ICLR 2024Empirical Likelihood for Fair Classification
- ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
- ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
- ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
- ICLR 2024Expressive Losses for Verified Robustness via Convex Combinations
- ICLR 2024f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
- ICLR 2024Fast Value Tracking for Deep Reinforcement Learning
- ICLR 2024FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning
- ICLR 2024Fine-Tuning Language Models for Factuality
- ICLR 2024Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
- ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
- ICLR 2024Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
- ICLR 2024Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
- ICLR 2024Global Optimality for Non-linear Constrained Restoration Problems via Invexity
- ICLR 2024GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
- ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
- ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
- ICLR 2024Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
- ICLR 2024How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
- ICLR 2024How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
- ICLR 2024Identifying Representations for Intervention Extrapolation
- ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
- ICLR 2024Improved Techniques for Training Consistency Models
- ICLR 2024In defense of parameter sharing for model-compression
- ICLR 2024Input-gradient space particle inference for neural network ensembles
- ICLR 2024Intelligent Switching for Reset-Free RL
- ICLR 2024Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
- ICLR 2024Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
- ICLR 2024Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
- ICLR 2024L2P-MIP: Learning to Presolve for Mixed Integer Programming
- ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
- ICLR 2024Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
- ICLR 2024Large Language Models as Generalizable Policies for Embodied Tasks
- ICLR 2024Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
- ICLR 2024Learning Energy Decompositions for Partial Inference in GFlowNets
- ICLR 2024Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
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。