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 1,214 篇，第 5 / 25 页
- ICML 2026MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
- ICML 2026MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
- ICML 2026MaxSAT-Based Compression for Tsetlin Machines
- ICML 2026MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
- ICML 2026Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
- ICML 2026MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers
- ICML 2026MidSteer: Optimal Affine Framework for Steering Generative Models
- ICML 2026MineDraft: A Framework for Batch Parallel Speculative Decoding
- ICML 2026Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching
- ICML 2026Minimizing Upper Confidence Bounds: A Data-Driven Framework for Stochastic Programming
- ICML 2026Minimum Distance Summaries for Robust Neural Posterior Estimation
- ICML 2026Mixing Configurations for Downstream Prediction
- ICML 2026Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
- ICML 2026MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
- ICML 2026MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-regularized Optimization
- ICML 2026MuLoCo: Muon is a Practical Inner Optimizer for DiLoCo
- ICML 2026NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating
- ICML 2026Names Don’t Matter: Symbol-Invariant Transformer for Open-Vocabulary Learning
- ICML 2026nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
- ICML 2026Near-Universal Multiplicative Updates for Nonnegative Einsum Factorization
- ICML 2026Neural Modular Physics for Elastic Simulation
- ICML 2026NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
- ICML 2026Neuro-Symbolic AI for Analytical Solutions of Differential Equations
- ICML 2026NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series
- ICML 2026NeuronCtrl: Geometry-Aware Safe Closed-Loop Generative Control for Neuronal Microenvironment Dynamics
- ICML 2026New Algorithms for Fully-Dynamic k-center with Outliers
- ICML 2026New Bounds for Kernel Sums via Fast Spherical Embeddings
- ICML 2026Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising
- ICML 2026Olmix: A Framework for Data Mixing Throughout LM Development
- ICML 2026On Revisiting Entropy for Identifying Mislabeled Images
- ICML 2026On Testing Conditional Mean Independence for Manifold-Valued Data
- ICML 2026On the Power of Source Screening for Learning Shared Feature Extractors
- ICML 2026On the Theory of Continual Learning with Gradient Descent for Neural Networks
- ICML 2026On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
- ICML 2026On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
- ICML 2026One LR Doesn’t Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
- ICML 2026One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
- ICML 2026Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation
- ICML 2026Optimal Pricing for Data-Augmented AutoML Marketplaces
- ICML 2026Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation
- ICML 2026Optimized Deferral for Imbalanced Settings
- ICML 2026Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search
- ICML 2026OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization
- ICML 2026Parametrized Power-Iteration Clustering for Directed Graphs
- ICML 2026Particle Flow for Learning from Label Proportions
- ICML 2026Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
- ICML 2026Persona-Pruner: Sculpting Lightweight Models for Role-Playing
- ICML 2026PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-Scale Physics Simulations
- ICML 2026Platonic Transformers: A Solid Choice For Equivariance
- ICML 2026Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning
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。