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 11 / 25 页
- ICML 2025LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
- ICML 2025Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
- ICML 2025Learning from Sample Stability for Deep Clustering
- ICML 2025Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
- ICML 2025Learning Representations of Instruments for Partial Identification of Treatment Effects
- ICML 2025Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
- ICML 2025Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
- ICML 2025Learning to Quantize for Training Vector-Quantized Networks
- ICML 2025Learning to Stop: Deep Learning for Mean Field Optimal Stopping
- ICML 2025Learning without Isolation: Pathway Protection for Continual Learning
- ICML 2025Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
- ICML 2025LETS Forecast: Learning Embedology for Time Series Forecasting
- ICML 2025LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
- ICML 2025LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
- ICML 2025Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
- ICML 2025LineFlow: A Framework to Learn Active Control of Production Lines
- ICML 2025Logits are All We Need to Adapt Closed Models
- ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
- ICML 2025MARS: Unleashing the Power of Variance Reduction for Training Large Models
- ICML 2025Masked Autoencoders Are Effective Tokenizers for Diffusion Models
- ICML 2025MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
- ICML 2025MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
- ICML 2025Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
- ICML 2025Minimum Width for Universal Approximation using Squashable Activation Functions
- ICML 2025Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
- ICML 2025Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
- ICML 2025MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
- ICML 2025N2GON: Neural Networks for Graph-of-Net with Position Awareness
- ICML 2025Navigating Conflicting Views: Harnessing Trust for Learning
- ICML 2025Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks
- ICML 2025Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback
- ICML 2025Nearly Optimal Sample Complexity for Learning with Label Proportions
- ICML 2025NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
- ICML 2025Nonparametric Teaching for Graph Property Learners
- ICML 2025On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
- ICML 2025One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
- ICML 2025OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
- ICML 2025Optimal Algorithm for Max-Min Fair Bandit
- ICML 2025Optimal Information Retention for Time-Series Explanations
- ICML 2025OrcaLoca: An LLM Agent Framework for Software Issue Localization
- ICML 2025OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
- ICML 2025Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
- ICML 2025PAC-Bayes Analysis for Recalibration in Classification
- ICML 2025Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
- ICML 2025Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
- ICML 2025ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
- ICML 2025Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
- ICML 2025Patch-wise Structural Loss for Time Series Forecasting
- ICML 2025Permutation Equivariant Neural Networks for Symmetric Tensors
- ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
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。