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 18 / 25 页
- ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
- ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
- ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
- ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
- ICML 2024No Dimensional Sampling Coresets for Classification
- ICML 2024No Double Descent in Principal Component Regression: A High-Dimensional Analysis
- ICML 2024Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
- ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
- ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
- ICML 2024Novel Spectral Algorithms for the Partial Credit Model
- ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
- ICML 2024On Convergence of Incremental Gradient for Non-convex Smooth Functions
- ICML 2024On dimensionality of feature vectors in MPNNs
- ICML 2024On Prompt-Driven Safeguarding for Large Language Models
- ICML 2024On the Diminishing Returns of Width for Continual Learning
- ICML 2024On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
- ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
- ICML 2024On Universally Optimal Algorithms for A/B Testing
- ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
- ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
- ICML 2024Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
- ICML 2024Optimal Coresets for Low-Dimensional Geometric Median
- ICML 2024Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
- ICML 2024Optimal Ridge Regularization for Out-of-Distribution Prediction
- ICML 2024Optimal Transport for Structure Learning Under Missing Data
- ICML 2024Optimizing Watermarks for Large Language Models
- ICML 2024Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
- ICML 2024Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
- ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
- ICML 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
- ICML 2024Parallelized Spatiotemporal Slot Binding for Videos
- ICML 2024Parameterized Physics-informed Neural Networks for Parameterized PDEs
- ICML 2024Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems
- ICML 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
- ICML 2024PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
- ICML 2024Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
- ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
- ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
- ICML 2024Polynomial-based Self-Attention for Table Representation Learning
- ICML 2024Position: A Call for Embodied AI
- ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
- ICML 2024Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
- ICML 2024Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
- ICML 2024Position: Intent-aligned AI Systems Must Optimize for Agency Preservation
- ICML 2024Position: Is machine learning good or bad for the natural sciences?
- ICML 2024Position: Levels of AGI for Operationalizing Progress on the Path to AGI
- ICML 2024Position: Open-Endedness is Essential for Artificial Superhuman Intelligence
- ICML 2024Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy
- ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
- ICML 2024Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
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。