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 12 / 19 页
- NeurIPS 2026MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays
- NeurIPS 2026Mosaic: A Benchmark Suite for Differentiable Physics Solvers
- NeurIPS 2026Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
- NeurIPS 2026MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting
- NeurIPS 2026Multiform Attack for Transferable Cross-Modal Person Re-Identification
- NeurIPS 2026Multiscale Microenvironment Vector Space Projection for Uncovering Diverse Pathological Biomarker
- NeurIPS 2026MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence
- NeurIPS 2026NADS: Navigator-Guided Data Selection for Mitigating Catastrophic Forgetting in Fine-Tuning
- NeurIPS 2026NARRA-Gym for Evaluating Interactive Narrative Agents
- NeurIPS 2026Near-Linear Time Generalized Sinkhorn Algorithms for Bounded Genus Graphs
- NeurIPS 2026Nearly Optimal Bounds for Orthogonal Trace-Sum Maximization
- NeurIPS 2026Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
- NeurIPS 2026Necessary but Not Sufficient: Spectral Tests for Value-Linear Attention Surrogates
- NeurIPS 2026NeSyKC: Neurosymbolic Knowledge Compilation For Lifelong Learning Embodied Agents
- NeurIPS 2026Neural Circuit Architectural Priors for Rat Locomotion
- NeurIPS 2026Neural Operator-based Curriculum Learning for Physics-Informed Neural Networks
- NeurIPS 2026NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
- NeurIPS 2026Neuromodulated Constrained Autoencoders for Context-Dependent Manifold Learning
- NeurIPS 2026Neuronal Identity as an Organizational Basis for Analyzing Neural Population Dynamics
- NeurIPS 2026Neurosymbolic Learning for Inference-Time Argumentation
- NeurIPS 2026Neutral-atom quantum features as complementary structural encodings for graph learning
- NeurIPS 2026Never Go Full Batch: Stochastic TMLE for Large-Scale Debiased Inference
- NeurIPS 2026New Coresets for Fair Clustering
- NeurIPS 2026NINJA: A Navigator–Inspector Joint Architecture for Context-Efficient Issue Localization
- NeurIPS 2026NitroBox: Lightning-Fast Sandbox for Large-Scale RL Training
- NeurIPS 2026NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models
- NeurIPS 2026No Free Alignment: Observability-Aware Alignment for Multimodal Heterogeneous Learning
- NeurIPS 2026Non-Expanding Gated Continued Fraction Architecture for Feedforward Layers in Language Models
- NeurIPS 2026Non-Linear Pricing Restores Tractability for a Data Seller
- NeurIPS 2026Nonlinear Direct Feedback Alignment for Scalable Backpropagation-Free Training
- NeurIPS 2026Not All Instances Should Contribute Equally: Sparse Support Grounding via Unbalanced Transport for Heterogeneous MIL
- NeurIPS 2026Not All Routing Drift Is Harmful: Trust-Region Projection for Class-Incremental Learning
- NeurIPS 2026NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
- NeurIPS 2026nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving
- NeurIPS 2026Nüwa.RNA: An RNA Foundation Model for Unified Representation with Deep Structure Infusion
- NeurIPS 2026Objective-Aligned Amortized Inference for Offline Bayes-Adaptive MDP Model Learning
- NeurIPS 2026Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals
- NeurIPS 2026OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
- NeurIPS 2026OdysSim: Building Foundation Models for Human Behavior Simulation
- NeurIPS 2026OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
- NeurIPS 2026OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling
- NeurIPS 2026On Concentration Inequalities for Sampling without Replacement
- NeurIPS 2026On Data Engineering for Scaling LLM Terminal Capabilities
- NeurIPS 2026On the Memorization of Consistency Distillation for Diffusion Models
- NeurIPS 2026On the Nonlinearity of Learning Rate Scaling for LLM Training
- NeurIPS 2026One Avatar, Any Budget: Robust LoD for Dynamic Gaussian Avatars
- NeurIPS 2026One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
- NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
- NeurIPS 2026Online Quantile Omniprediction for Proper Losses
- NeurIPS 2026OpenSanctions Pairs: A Large-Scale Dataset for Pairwise Entity Matching
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。