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 940 篇，第 10 / 19 页
- NeurIPS 2026KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
- NeurIPS 2026KVFocus: A Perturbation-Theoretic Token-Risk Score for Selective KV Cache Reuse in RAG
- NeurIPS 2026L$^2$EAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks
- NeurIPS 2026Label-Free Consistency Correction for Weak-to-Strong Generalization
- NeurIPS 2026LACE: Lattice Attention for Cross-thread Exploration
- NeurIPS 2026LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
- NeurIPS 2026LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization
- NeurIPS 2026Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems
- NeurIPS 2026Latent Debate: A Surrogate Framework for Interpreting LLM Thinking towards Binary Decisions
- NeurIPS 2026Latent Generative Solvers for Generalizable Long-Term Physics Simulation
- NeurIPS 2026LAtte: Hyperbolic Lorentz Attention for Joint-Subject EEG Classification
- NeurIPS 2026Layer Precision Reduction for Deep Anomaly Detection
- NeurIPS 2026Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks
- NeurIPS 2026LEAP: Library-driven Evolutionary Abstraction Paradigm for Large Language Models
- NeurIPS 2026Learnable Low-Rank Polynomial Sketch for Effective Linear Attention
- NeurIPS 2026Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting
- NeurIPS 2026Learning Cost-Efficient Autoscaling for Latency-Constrained Disaggregated LLM Serving
- NeurIPS 2026Learning Digital Twins under Drift: Optimal Tracking Rates for Non-Stationary Dynamical Systems
- NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
- NeurIPS 2026Learning Hierarchical Forward Processes For Discrete Diffusion Language Models
- NeurIPS 2026Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers
- NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
- NeurIPS 2026Learning Options for Compositional Motor Control with Adapter Banks
- NeurIPS 2026Learning Orthonormal Bases for Function Spaces
- NeurIPS 2026Learning Process Rewards via Visitation Matching for Efficient RL
- NeurIPS 2026Learning Provable Neural Network Observer for Uncertain Dynamical Systems
- NeurIPS 2026Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
- NeurIPS 2026Learning Rate Transfer for Hybrid Transformer-SSM Architectures
- NeurIPS 2026Learning Sparse Semantic-Cortical Atoms for Multisubject Naturalistic fMRI Encoding
- NeurIPS 2026Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting
- NeurIPS 2026Learning the Committor Function using Weighted Ensemble Simulations
- NeurIPS 2026Learning to Cut: Reinforcement Learning for Benders Decomposition
- NeurIPS 2026Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
- NeurIPS 2026Learning to Search, Searching to Learn: A Closed-Loop Framework for Large-Scale Vehicle Routing
- NeurIPS 2026Learning When to Denoise: Optimizing Asynchronous Schedules for Latent Diffusion
- NeurIPS 2026Learning When Visual Context Matters for Mouse Behavior Analysis
- NeurIPS 2026Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
- NeurIPS 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling
- NeurIPS 2026Ledger: A Path-Validated, Database-Grounded Benchmark for Enterprise Web Agents
- NeurIPS 2026Leech Lattice Vector Quantization for Efficient LLM Compression
- NeurIPS 2026LEIA: Learned Environment for Interactive Architected Materials
- NeurIPS 2026Leveraging unlabelled data for generalizable neural population decoding
- NeurIPS 2026Liars' Bench: Evaluating Lie Detectors for Language Models
- NeurIPS 2026Lie Generator Networks for Nonlinear Partial Differential Equations
- NeurIPS 2026LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
- NeurIPS 2026LinuxArena: A Control Setting for AI Agents in Live Production Software Environments
- NeurIPS 2026LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation
- NeurIPS 2026LLM Flow Processes for Text-Conditioned Regression
- NeurIPS 2026LLM-ACES: Closed-Loop Discovery of Dynamic Systems with LLM-Guided Adaptive Search
- NeurIPS 2026LLM-Enhanced Random Forests in Orthogonal Hyperbolic Subspaces for Tabular Learning
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。