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 2,199 篇，第 33 / 44 页
- NeurIPS 2026FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
- NeurIPS 2026Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials
- NeurIPS 2026Focus on Where You Aggregate: Restricted SAM for Non-IID Federated Learning
- NeurIPS 2026Forward Shapley Scoring for Non-Myopic Active Feature Acquisition
- NeurIPS 2026Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
- NeurIPS 2026FRESCO: A Novel Consistency Control for Asynchronous Pipeline Parallel Training
- NeurIPS 2026From Approximation to Computation: Universal Power of Deep Narrow Networks at Constant Width
- NeurIPS 2026From Heartbeat to Cardiochoreography: A Mechanics Foundation Model for Individualized 4D Cardiac Motion Generation Conditioned on Electrophysiology
- NeurIPS 2026From Local Skills to Long-Horizon Tasks: Progressive Skill Exploration for LLM Web Agents
- NeurIPS 2026From Matrix Inversion to Constraints: Provably Tighter Confidence Regions for Importance Weights in Label Shift
- NeurIPS 2026From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents
- NeurIPS 2026From Walls to Synergy: A Joint LLM-Evolution Framework for MILP Solvers
- NeurIPS 2026FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
- NeurIPS 2026Fully Distributed Tâtonnement for Chores Markets
- NeurIPS 2026Fully First-Order Algorithms for Online Non-Convex Bilevel Optimization
- NeurIPS 2026FUTON: Fourier Tensor Network for Implicit Neural Representations
- NeurIPS 2026G-PAC: Constructing Cohesive Pseudo-Features for Generalizable Physical Adversarial Camouflage
- NeurIPS 2026Gauge-Symmetric Dual Lagrangian Frameworks for Born-Oppenheimer Molecular Dynamics
- NeurIPS 2026GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
- NeurIPS 2026GEAR: A GPU-Accelerated Global Solver for Nonlinear Programs via Linear Bound Propagation
- NeurIPS 2026GEAR: Generator-Adaptive State Space Models for Associative Recall
- NeurIPS 2026GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking
- NeurIPS 2026Generalizable Physics Simulation through Compositional Energy Minimization
- NeurIPS 2026Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems
- NeurIPS 2026Generalization Bounds for Neural Networks with Sparse Connectivity
- NeurIPS 2026Generalization Measures for Deep Learning Should Be Audited for Fragility
- NeurIPS 2026Generalized Influence Functions for Better Model Change Estimates
- NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
- NeurIPS 2026Geometric Velocity Regularity for Flow Matching on Manifold-Concentrated Data
- NeurIPS 2026Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs
- NeurIPS 2026Geometry-Aware Directional Alignment for Coherent Model Merging
- NeurIPS 2026Geometry-Calibrated Conformal Abstention for Language Models
- NeurIPS 2026Geometry-Regularized Collapse Resistance via Consensus Enhancement for Federated Learning
- NeurIPS 2026GeoSPRINT: Geometric Redundancy-Aware Step Pruning for Inference in Diffusion Trajectories
- NeurIPS 2026GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
- NeurIPS 2026Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing
- NeurIPS 2026GGQR: Gaussian-Grounded Query Refinement for Feed-Forward 4D Gaussian Splatting
- NeurIPS 2026Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
- NeurIPS 2026Global Context Guidance for Diffusion Large Language Models
- NeurIPS 2026Global Importance Estimation for KV Cache Eviction
- NeurIPS 2026GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models
- NeurIPS 2026Gradient-Free Editing for Attribute Invariance in Graph Neural Networks
- NeurIPS 2026Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation
- NeurIPS 2026Greedy Alignment Principle for Optimizer Selection
- NeurIPS 2026Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models
- NeurIPS 2026Guiding Data Allocation for Robust Subpopulation Generalization
- NeurIPS 2026H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
- NeurIPS 2026Harmonic Torsional Diffusion for Flexible Protein-Ligand Docking
- NeurIPS 2026Hearing the Unspoken: Simulator-Induced Asymmetric-View Policy Optimization for Proactive Task-Oriented Dialogue
- NeurIPS 2026Heterogeneous Parallelism for Multimodal Large Language Model Training
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。