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 2,111 篇，第 4 / 43 页
- NeurIPS 2026CASAM: Consistency-Anchored Sharpness-Aware Minimization for Improved Model Generalization
- NeurIPS 2026Casper: A Projection-Based Neurosymbolic Layer for Scalable & Guaranteed Constraint Satisfaction
- NeurIPS 2026Catch Your Breath: Adaptive Computation for Self-Paced Sequence Production
- NeurIPS 2026Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
- NeurIPS 2026Categorical Bayes filtering for computational phenotyping in adaptive learning
- NeurIPS 2026CATS: Acceptance-Oriented Critical Token Adaptive Selection for Multimodal Speculative Decoding
- NeurIPS 2026CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
- NeurIPS 2026CCDiff: Inverse Canonical Correlation Analysis for Discovering Visual Differences in Natural Language
- NeurIPS 2026CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy
- NeurIPS 2026CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting
- NeurIPS 2026CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators
- NeurIPS 2026Cheap Per-Component Testing for PLS, Stable Under Rotation
- NeurIPS 2026Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
- NeurIPS 2026Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
- NeurIPS 2026CI4A: Semantic Component Interfaces for Agents Empowering Web Automation
- NeurIPS 2026Circuit-Level Knowledge Distillation for Large Language Models
- NeurIPS 2026Clapping: Removing Per-sample Storage for Pipeline Parallel Learning with Communication Compression
- NeurIPS 2026Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse
- NeurIPS 2026Clean-Label Poisoning for Gradient-Boosted Decision Trees
- NeurIPS 2026Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
- NeurIPS 2026Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
- NeurIPS 2026CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
- NeurIPS 2026Closing the Approximation Gap in Simulation-free Latent SDEs
- NeurIPS 2026Closing the Loop with Fixed-Point Self-Attention
- NeurIPS 2026ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
- NeurIPS 2026CLUE: Correlated Latent Uncertainty for Single-Pass Deep Uncertainty Estimation
- NeurIPS 2026ClusQuant: Mitigating Outliers with Clustering-Based Representations for Low-Precision LRMs
- NeurIPS 2026Cluster with Auctions for Vector Search
- NeurIPS 2026Clustered Randomized Smoothing for Stochastic Prediction Functions
- NeurIPS 2026CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage
- NeurIPS 2026Coherence Mechanisms for Provable Self-Improvement
- NeurIPS 2026Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
- NeurIPS 2026ComPose: When to Trust Hands for Object Pose Tracking
- NeurIPS 2026COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression
- NeurIPS 2026Computationally sufficient statistics for Ising models
- NeurIPS 2026Compute Allocation Under Model-Provider Competition
- NeurIPS 2026Concentrated Gradients Amplify Forgetting: Dominant-direction Projection for Continual Multimodal Learning
- NeurIPS 2026ConfDet: Learning Reliable Confidence for MLLM-based Detection
- NeurIPS 2026ConforFlux: Particle-Guided Trunk Repulsion for Diverse Protein Conformations
- NeurIPS 2026Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
- NeurIPS 2026ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
- NeurIPS 2026Conservation Laws for Diffusion Models
- NeurIPS 2026Conservatism Controllable Compositional Guidance for Offline Safe Reinforcement Learning
- NeurIPS 2026Consolidating Rewarded Perturbations for LLM Post-Training
- NeurIPS 2026Constrained Modulatory Reservoirs for Context-Dependent Computation
- NeurIPS 2026Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives
- NeurIPS 2026ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
- NeurIPS 2026Continuous Diffusion Scales Competitively with Discrete Diffusion for Language
- NeurIPS 2026Contrastive Nonmyopic Objective Cost-Tradeoff Acquisition for Longitudinal Data
- NeurIPS 2026Contribution-Aware Structured Sparsity for Model Merging
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。