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 17 / 118 页
- ICLR 2026Policy Contrastive Decoding for Robotic Foundation Models
- ICLR 2026Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose Estimation
- ICLR 2026Post-training Large Language Models for Diverse High-Quality Responses
- ICLR 2026Post-Training Quantization for Video Matting
- ICLR 2026Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
- ICLR 2026Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
- ICLR 2026PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
- ICLR 2026PRISM: Controllable Diffusion for Compound Image Restoration with Scientific Fidelity
- ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
- ICLR 2026Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
- ICLR 2026PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
- ICLR 2026Quantitative Bounds for Length Generalization in Transformers
- ICLR 2026Quantization-Aware Diffusion Models For Maximum Likelihood Training
- ICLR 2026Queue Length Regret Bounds for Contextual Queueing Bandits
- ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
- ICLR 2026Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
- ICLR 2026RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language Model
- ICLR 2026RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
- ICLR 2026Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
- ICLR 2026Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
- ICLR 2026Reformulation for Pretraining Data Augmentation
- ICLR 2026Relational Feature Caching for Accelerating Diffusion Transformers
- ICLR 2026RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
- ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
- ICLR 2026Rethinking Code Similarity for Automated Algorithm Design with LLMs
- ICLR 2026Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
- ICLR 2026Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning
- ICLR 2026S$^2$-Guidance: Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
- ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
- ICLR 2026SAIL: Self-Amplified Iterative Learning for Diffusion Model Alignment with Minimal Human Feedback
- ICLR 2026Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
- ICLR 2026Scaling Laws for Diffusion Transformers
- ICLR 2026Searching for Privacy Risks in LLM Agents via Simulation
- ICLR 2026Selective Data Removal for Distributional Machine Unlearning
- ICLR 2026SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
- ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
- ICLR 2026ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
- ICLR 2026Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
- ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
- ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
- ICLR 2026SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
- ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
- ICLR 2026SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
- ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
- ICLR 2026Spatially Informed Autoencoders for Interpretable Visual Representation Learning
- ICLR 2026Spectral Attention Steering for Prompt Highlighting
- ICLR 2026Speculative Actions: A Lossless Framework for Faster AI Agents
- ICLR 2026Spike-based Digital Brain: a novel fundamental model for brain activity analysis
- ICLR 2026Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
- ICLR 2026SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
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。