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 43 / 44 页
- NeurIPS 2026SVDP: Training-Free Contextual Sparsity Predictors for Fast LLM Inference
- NeurIPS 2026Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
- NeurIPS 2026Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
- NeurIPS 2026Symplectic Parallel Scan: A Neural Hamiltonian Framework for Accelerated Scientific Simulation
- NeurIPS 2026SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
- NeurIPS 2026T-ReX: Learning Tile-Reuse Indexes for Structured Model Compression
- NeurIPS 2026TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning
- NeurIPS 2026TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
- NeurIPS 2026Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems
- NeurIPS 2026TailDiff: Elicitable Tail-Guided Diffusion for Risk-Sensitive Generation
- NeurIPS 2026TanGCE: Manifold-Aware Concept Erasure
- NeurIPS 2026Target-Aware Nuisance Shaping for Object Detection
- NeurIPS 2026Target-Budget Best-Function Identification for Scaling-Law-Guided Model Selection
- NeurIPS 2026TARP: Trace-Anchored Regularization Prior for Retaining Stepwise Reasoning
- NeurIPS 2026TasteBench: multimodal benchmark for sensory prediction, from molecules to sustainable foods
- NeurIPS 2026TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
- NeurIPS 2026Temporal Pair Consistency for Flow Matching
- NeurIPS 2026The Alternation Depth Principle for Neural Operator Design
- NeurIPS 2026The Cost of Absolute Position: A Spread-Expressivity Tradeoff for Additive Positional Encodings
- NeurIPS 2026The Denoising Wrapper: A Modular Post-Processing Framework for Noisy First-Order Optimizers
- NeurIPS 2026The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks
- NeurIPS 2026The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
- NeurIPS 2026The Multiscale Single-Index Model: A Toy Model for Hierarchical Feature Learning
- NeurIPS 2026The Power of Second Order Methods for Sequence Preconditioning
- NeurIPS 2026The Spectral Amplitude Principle for Dynamics of Quantum Neural Networks
- NeurIPS 2026Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference
- NeurIPS 2026Theoretical Limits of Language Model Alignment
- NeurIPS 2026Think Before You Generate: Active Panoramic Exploration for Text-to-3D Scenes
- NeurIPS 2026TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics
- NeurIPS 2026To discretize continually: Mean shift interacting particle systems for Bayesian inference
- NeurIPS 2026To See Far, Look Close: Evolutionary Forecasting for Long-term Time Series
- NeurIPS 2026TokenRouter: Efficient Serving System for Token-Level LLM Routing
- NeurIPS 2026Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation
- NeurIPS 2026Tools as Continuous Flow for Evolving Agentic Reasoning
- NeurIPS 2026TopoScope: A Graph-Scoped LLM Agent for Printed Circuit Board Schematic Design
- NeurIPS 2026TORNADO: Adaptive Latent Stochastic Transport for Calibrated Probabilistic PDE Forecasting
- NeurIPS 2026ToS: Tree-of-Skill Reinforcement Learning driven by Behavior Tree for Long-Horizon Manipulation
- NeurIPS 2026Toward Minimal-dimensional Convex Calibrated Surrogate Losses for Classification with Rejection
- NeurIPS 2026Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers
- NeurIPS 2026Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
- NeurIPS 2026Towards Optimal Pre-training Data Mixtures for Empowering Reinforcement Learning in LLMs
- NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
- NeurIPS 2026Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
- NeurIPS 2026Towards Scalable Data Diversification for Language Model Pretraining via Leverage Score Sampling
- NeurIPS 2026Towards Self-Supervised, Generalizable and Decomposable 4D Driving Scene Reconstruction
- NeurIPS 2026TPO: Tri-level Distributionally Robust Learning for OOD Direct Preference Optimization
- NeurIPS 2026Train on the Sphere, Deploy on the Hill: Closed-Form-Anchored Surrogates for Real-Terrain Boundary-Integral Equations
- NeurIPS 2026Training-Free Entangler Selection for Quantum Neural Networks via Hilbert–Schmidt Geometry
- NeurIPS 2026Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
- NeurIPS 2026Trajectory-Consistent Dropout for Uncertainty Decomposition in Hamiltonian Neural Networks
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。