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 5 / 19 页
- NeurIPS 2026Control Charts for Multi-Agent Systems
- NeurIPS 2026Control First, Robustness Next: Decoupled Representation Learning for Visual RL Generalization
- NeurIPS 2026Controlling for Omitted Variable Bias in Deep Neural Networks
- NeurIPS 2026Controlling Transient Amplification Improves Long-horizon Rollouts
- NeurIPS 2026Conveyance: A Versatile Framework for Learning in Structured Class Spaces
- NeurIPS 2026CoQuant: Covariance-Aware Rotation for 2-bit KV Cache Quantization
- NeurIPS 2026CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
- NeurIPS 2026Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
- NeurIPS 2026Correpondence Alignment For Improved Virtual Try-On
- NeurIPS 2026CorridorLight: Cooperation as Task Negotiation with Causal Gating for Traffic Signal Control
- NeurIPS 2026Cortically-Resolved Recurrent Architecture for fMRI
- NeurIPS 2026Counting without Scale: Scale-Consistent Error Correction for Crowd Counting
- NeurIPS 2026Coupled Guidance for Flow Matching
- NeurIPS 2026Coupled Integral PINN for Discontinuity
- NeurIPS 2026Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
- NeurIPS 2026Coverage-Based Calibration for Post-Training Quantization via Weighted Maximum Coverage over Outlier Channels
- NeurIPS 2026CRAFT: Conflict-Resolved Aggregation for Federated Training
- NeurIPS 2026CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
- NeurIPS 2026Cross-Fitting for Neural Posterior Estimation
- NeurIPS 2026Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse
- NeurIPS 2026Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
- NeurIPS 2026CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly
- NeurIPS 2026CURe: Conservative Unlearning with Soft-Gating Regularization for Offline Reinforcement Learning
- NeurIPS 2026Curvature Beyond Positivity: Greedy Guarantees for Arbitrary Submodular Functions
- NeurIPS 2026CUVET: A Partitioning Approach for Continuous Treatment Assignment At Scale
- NeurIPS 2026CycleSpectra: Cyclic Motion Spectra for Phase-Queryable 4D Cardiac Reconstruction
- NeurIPS 2026Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation
- NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
- NeurIPS 2026DACE RL for Compute Efficient Reinforcement Learning in Small Model Reasoning
- NeurIPS 2026DARPAN: Controllability-Aware Residual Filtering for Pretrained Physical Control
- NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
- NeurIPS 2026Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning
- NeurIPS 2026DBPS: Doob-Bridge Posterior Sampler with Balanced Endpoint-Population Control for Unpaired Neurodegenerative Pathology Transport
- NeurIPS 2026DC-SAE: Deep Compression Semantic Autoencoder for Faster Diffusion Convergence
- NeurIPS 2026Decision Focused Scenario Learning for Contextual Stochastic Programming
- NeurIPS 2026Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection
- NeurIPS 2026Decoupling Action from Egocentric Observation for World Simulation
- NeurIPS 2026Deep Generative Models for Phylogenetic Inference with Complex Evolutionary Processes
- NeurIPS 2026Deep Learning-based Algebraic Reynolds Stress Closures for RANS simulations of Turbulent Flows
- NeurIPS 2026DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs
- NeurIPS 2026DegBins: Degradation-Driven Binning for Depth Super-Resolution
- 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
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。