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 899 篇，第 17 / 18 页
- 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
- ICLR 2023Learning Iterative Neural Optimizers for Image Steganography
- ICLR 2023Learning Label Encodings for Deep Regression
- ICLR 2023Learning to Grow Pretrained Models for Efficient Transformer Training
- ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
- ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
- ICLR 2023Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
- ICLR 2023Leveraging Large Language Models for Multiple Choice Question Answering
- ICLR 2023Limitless Stability for Graph Convolutional Networks
- ICLR 2023Localized Randomized Smoothing for Collective Robustness Certification
- ICLR 2023LPT: Long-tailed Prompt Tuning for Image Classification
- ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
- ICLR 2023MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
- ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
- ICLR 2023Meta Knowledge Condensation for Federated Learning
- ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
- ICLR 2023Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
- ICLR 2023Near-optimal Coresets for Robust Clustering
- ICLR 2023NeRN: Learning Neural Representations for Neural Networks
- ICLR 2023Neural Bregman Divergences for Distance Learning
- ICLR 2023Neural Design for Genetic Perturbation Experiments
- ICLR 2023Neural-based classification rule learning for sequential data
- ICLR 2023Noise Injection Node Regularization for Robust Learning
- ICLR 2023Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
- ICLR 2023ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
- ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
- ICLR 2023On amortizing convex conjugates for optimal transport
- ICLR 2023On Pre-training Language Model for Antibody
- ICLR 2023On The Relative Error of Random Fourier Features for Preserving Kernel Distance
- ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
- ICLR 2023Optimal Activation Functions for the Random Features Regression Model
- ICLR 2023Optimal Transport for Offline Imitation Learning
- ICLR 2023Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
- ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
- ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
- ICLR 2023Packed Ensembles for efficient uncertainty estimation
- ICLR 2023PatchDCT: Patch Refinement for High Quality Instance Segmentation
- ICLR 2023Phase transition for detecting a small community in a large network
- ICLR 2023Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
- ICLR 2023PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
- ICLR 2023Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
- ICLR 2023Policy-Based Self-Competition for Planning Problems
- ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
- ICLR 2023Preference Transformer: Modeling Human Preferences using Transformers for RL
- ICLR 2023Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
- ICLR 2023Progress measures for grokking via mechanistic interpretability
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。