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 1,405 篇,第 22 / 29 页
- NeurIPS 2025Foundations of Top-$k$ Decoding for Language Models
- NeurIPS 2025FreeInv: Free Lunch for Improving DDIM Inversion
- NeurIPS 2025From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
- NeurIPS 2025From Euler to AI: Unifying Formulas for Mathematical Constants
- NeurIPS 2025From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction
- NeurIPS 2025From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
- NeurIPS 2025Fully Dynamic Algorithms for Chamfer Distance
- NeurIPS 2025Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
- NeurIPS 2025Functional data analysis for multivariate distributions through Wasserstein slicing
- NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
- NeurIPS 2025FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
- NeurIPS 2025Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
- NeurIPS 2025Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
- NeurIPS 2025Gaussian Processes for Shuffled Regression
- NeurIPS 2025GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
- NeurIPS 2025Generalization Bounds for Model-based Algorithm Configuration
- NeurIPS 2025Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
- NeurIPS 2025Generalized Linear Mode Connectivity for Transformers
- NeurIPS 2025Generalized Top-k Mallows Model for Ranked Choices
- NeurIPS 2025Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
- NeurIPS 2025Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
- NeurIPS 2025GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
- NeurIPS 2025GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility
- NeurIPS 2025Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
- NeurIPS 2025Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
- NeurIPS 2025GMM-based VAE model with Normalising Flow for effective stochastic segmentation
- NeurIPS 2025Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
- NeurIPS 2025GradMetaNet: An Equivariant Architecture for Learning on Gradients
- NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
- NeurIPS 2025Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
- NeurIPS 2025GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
- NeurIPS 2025Group-Level Data Selection for Efficient Pretraining
- NeurIPS 2025Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions
- NeurIPS 2025Gymnasium: A Standard Interface for Reinforcement Learning Environments
- NeurIPS 2025GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
- NeurIPS 2025Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
- NeurIPS 2025Hankel Singular Value Regularization for Highly Compressible State Space Models
- NeurIPS 2025HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs
- NeurIPS 2025HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
- NeurIPS 2025HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
- NeurIPS 2025Hierarchical Implicit Neural Emulators
- NeurIPS 2025HoliTom: Holistic Token Merging for Fast Video Large Language Models
- NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
- NeurIPS 2025How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
- NeurIPS 2025Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
- NeurIPS 2025Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
- NeurIPS 2025Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
- NeurIPS 2025Hyperbolic Fine-Tuning for Large Language Models
- NeurIPS 2025Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
- NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization
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。