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 24 / 29 页
- NeurIPS 2025Leveraging Conditional Dependence for Efficient World Model Denoising
- NeurIPS 2025Leveraging semantic similarity for experimentation with AI-generated treatments
- NeurIPS 2025LinPrim: Linear Primitives for Differentiable Volumetric Rendering
- NeurIPS 2025LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing
- NeurIPS 2025Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing
- NeurIPS 2025Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
- NeurIPS 2025Lookahead Routing for Large Language Models
- NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
- NeurIPS 2025Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
- NeurIPS 2025Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
- NeurIPS 2025Memory-Enhanced Neural Solvers for Routing Problems
- NeurIPS 2025MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting
- NeurIPS 2025MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
- NeurIPS 2025MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
- NeurIPS 2025Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach
- NeurIPS 2025Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
- NeurIPS 2025Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training
- NeurIPS 2025Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
- NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
- NeurIPS 2025MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding
- NeurIPS 2025Model Provenance Testing for Large Language Models
- NeurIPS 2025Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving
- NeurIPS 2025ModHiFi: Identifying High Fidelity predictive components for Model Modification
- NeurIPS 2025Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
- NeurIPS 2025Multilevel neural simulation-based inference
- NeurIPS 2025MultiScale Contextual Bandits for Long Term Objectives
- NeurIPS 2025MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
- NeurIPS 2025MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference
- NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
- NeurIPS 2025NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
- NeurIPS 2025Natural Gradient VI: Guarantees for Non-Conjugate Models
- NeurIPS 2025Near-Exponential Savings for Population Mean Estimation with Active Learning
- NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
- NeurIPS 2025Near-Optimal Sample Complexity for Online Constrained MDPs
- NeurIPS 2025NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
- NeurIPS 2025Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
- NeurIPS 2025NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs
- NeurIPS 2025Network two-sample test for block models
- NeurIPS 2025Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
- NeurIPS 2025Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data
- NeurIPS 2025Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
- NeurIPS 2025Neural Evolution Strategy for Black-box Pareto Set Learning
- NeurIPS 2025Neural Green’s Functions
- NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
- NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
- NeurIPS 2025NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting
- NeurIPS 2025Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls
- NeurIPS 2025Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
- NeurIPS 2025Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
- NeurIPS 2025Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
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。