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 19 / 19 页
- NeurIPS 2026Two Phase Rapid Simulation Based Inference with Differentiable Simulators
- NeurIPS 2026Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
- NeurIPS 2026U-MVP: Encode Locally, Decode Globally for Feed-Forward 3D Gaussian Splatting
- NeurIPS 2026Uncertainty Quantification for Large Language Diffusion Models
- NeurIPS 2026Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
- NeurIPS 2026Uncertainty Quantification of Least Squares Estimator for Generalized Orthogonal Procrustes Problems
- NeurIPS 2026Uncertainty-Guided Reward Labeling for Reinforcement Learning under Limited Feedback
- NeurIPS 2026UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation
- NeurIPS 2026UpSafe℃: Upcycling for Controllable Safety in Large Language Models
- NeurIPS 2026UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
- NeurIPS 2026VAANI: Capturing the language landscape for an inclusive digital India
- NeurIPS 2026Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
- NeurIPS 2026Variance Reduction for Expectations with Diffusion Teachers
- NeurIPS 2026Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
- NeurIPS 2026Verifiers in the Loop: Decoding Time Verification for Code Translation
- NeurIPS 2026View-Spectral Reconciliation Learning for Text-based Multispectral Aerial–Ground Person Re-Identification
- NeurIPS 2026ViewRec3D: Learning to Recommend 3D Viewpoints for AI Photography
- NeurIPS 2026ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
- NeurIPS 2026VisEditBench: A Benchmark for Vector-Format Diagram Editing with Visual Instructions
- NeurIPS 2026VISTA: Support-Anchored Value Targeting for Fast Flow-Based Vision-Language-Action Policies
- NeurIPS 2026WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
- NeurIPS 2026WavNAF: Learning Wave Propagation Priors for Neural Acoustic Fields
- NeurIPS 2026What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
- NeurIPS 2026What to Predict for Efficient Scheduling on Parallel Machines
- NeurIPS 2026When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition
- NeurIPS 2026When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reproduction
- NeurIPS 2026When Empathy Misses the Goal: A Benchmark for Goal Displacement in LLM Advice
- NeurIPS 2026When Further Realization Is Unnecessary: Amortized Reasoning for Long-Horizon LLM Agents
- NeurIPS 2026When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning
- NeurIPS 2026Where Reusable Computation Becomes Detectable: Solution-Frame Path Triage for Modular-Arithmetic Grokking
- NeurIPS 2026Which Pairs Should We Compare for DPO?
- NeurIPS 2026Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
- NeurIPS 2026Why Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts
- NeurIPS 2026WILD: Widely Linear Conditioning for Time Series Forecasting
- NeurIPS 2026WORD: Diffusion-Based Posterior Inference for Online Goal Recognition
- NeurIPS 2026WorldComposer: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
- NeurIPS 2026WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps
- NeurIPS 2026XBRIDGE: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication
- NeurIPS 2026XTraj: A Coarse-to-Fine Autoregressive Framework for Transferable Trajectory Generation
- NeurIPS 2026Z0-Inf: Zeroth Order Approximation for Data Influence
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。