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 5,881 篇，第 107 / 118 页
- ICLR 2023DepthFL : Depthwise Federated Learning for Heterogeneous Clients
- ICLR 2023DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
- ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
- ICLR 2023Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
- ICLR 2023DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
- ICLR 2023Dual Student Networks for Data-Free Model Stealing
- ICLR 2023DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
- ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
- ICLR 2023E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
- ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
- ICLR 2023Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
- ICLR 2023EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
- ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
- ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
- ICLR 2023Extremely Simple Activation Shaping for Out-of-Distribution Detection
- ICLR 2023Faster Gradient-Free Methods for Escaping Saddle Points
- ICLR 2023Finding Actual Descent Directions for Adversarial Training
- ICLR 2023FIT: A Metric for Model Sensitivity
- ICLR 2023FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
- ICLR 2023Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
- ICLR 2023Geometrically regularized autoencoders for non-Euclidean data
- ICLR 2023Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
- ICLR 2023Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
- ICLR 2023H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
- ICLR 2023Hidden Markov Transformer for Simultaneous Machine Translation
- ICLR 2023Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
- ICLR 2023How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
- ICLR 2023How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
- ICLR 2023How to prepare your task head for finetuning
- ICLR 2023Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
- ICLR 2023Identifiability Results for Multimodal Contrastive Learning
- ICLR 2023Implicit Regularization for Group Sparsity
- ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
- ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
- ICLR 2023Information Plane Analysis for Dropout Neural Networks
- ICLR 2023InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
- ICLR 2023Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
- ICLR 2023ISAAC Newton: Input-based Approximate Curvature for Newton's Method
- ICLR 2023Iterative Patch Selection for High-Resolution Image Recognition
- ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
- ICLR 2023Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
- ICLR 2023Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
- ICLR 2023Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
- ICLR 2023Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
- ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
- ICLR 2023Learning Controllable Adaptive Simulation for Multi-resolution Physics
- ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
- ICLR 2023Learning differentiable solvers for systems with hard constraints
- ICLR 2023Learning Human-Compatible Representations for Case-Based Decision Support
- ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
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。