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 2,199 篇，第 31 / 44 页
- NeurIPS 2026Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL
- NeurIPS 2026Density-Ratio Losses for Post-Hoc Learning to Defer
- NeurIPS 2026Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
- NeurIPS 2026Despa: Resolving Spatial Collapse in VLMs via Depth-Grounded Geometry
- NeurIPS 2026Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
- NeurIPS 2026DIAL: A Bounded-Monotone Adapter with Closed-Form Residual $L_\infty$ Bounds for Scalar-Controlled Refusal Modulation
- NeurIPS 2026DiDE: Direct Injection with Color-Texture DEcoupling for 3D Stylization
- NeurIPS 2026Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering
- NeurIPS 2026Differentiable Range-Partition Entropy for Entropy-Sensitive Geometric Algorithms
- NeurIPS 2026Diffusion Masked Pretraining for Dynamic Point Cloud
- NeurIPS 2026Dimension Bounds for Contractive Reservoir Computing from Input Entropy
- NeurIPS 2026Direct Conditional Parameterization for N-Dimensional Splatting
- NeurIPS 2026Disentangled Multimodal Learning for Scalable Dynamic IR-Drop Analysis
- NeurIPS 2026Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
- NeurIPS 2026DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning
- NeurIPS 2026Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules
- NeurIPS 2026Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
- NeurIPS 2026Diverse Representative Rashomon Sets for Sparse Generalized Additive Models
- NeurIPS 2026DiversePlace: Diversity-Seeking Curriculum Reinforcement Learning for Macro Placement
- NeurIPS 2026Diversity Maximization: Algorithms for Distant $k$-Subsets
- NeurIPS 2026DMax: Aggressive Parallel Decoding for dLLMs
- NeurIPS 2026DoFP-Aligned Lookup Tables for Real-Time Polarization Demosaicking
- NeurIPS 2026Don’t Learn What You Can Compute: Arithmetic Residual Blocks for Exact Arithmetic in Transformers
- NeurIPS 2026Don't Waste Population: Post-Anneal Refinement for Combinatorial Optimization
- NeurIPS 2026DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
- NeurIPS 2026DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data
- NeurIPS 2026DriveFuture: Future-Aware Latent World Models for Autonomous Driving
- NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
- NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
- NeurIPS 2026Driving on Memory
- NeurIPS 2026Driving Video Retrieval for Complex Queries with Structured Grounding
- NeurIPS 2026DropKV: Decoupling Residual-Output Perturbation for Near-Optimal KV-Cache Eviction
- NeurIPS 2026DSSA: Dynamic Sparse Semantic Anchoring for Purifying Protective Perturbations against Diffusion Models
- NeurIPS 2026DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
- NeurIPS 2026DUDS: Dual-stage Data Selection for Efficient Reinforcement Learning with Verifiable Rewards
- NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
- NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
- NeurIPS 2026DynamAuction: a reinforcement learning environment for repeated auction with dynamic value
- NeurIPS 2026Dynamic Quadtree Tokenization for Autoregressive PDE Forecasting
- NeurIPS 2026Dynamic Query as Budgeting for Tiny Object Detection
- NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
- NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
- NeurIPS 2026DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs
- NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
- NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
- NeurIPS 2026Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD
- NeurIPS 2026Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
- NeurIPS 2026EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction
- NeurIPS 2026Efficient Algorithms for Distributed Saddle Problems
- NeurIPS 2026Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces
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。