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 969 篇，第 12 / 20 页
- ICML 2023Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
- ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
- ICML 2023Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
- ICML 2023Approximate Stein Classes for Truncated Density Estimation
- ICML 2023Approximately Optimal Core Shapes for Tensor Decompositions
- ICML 2023Approximation Algorithms for Fair Range Clustering
- ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
- ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
- ICML 2023Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
- ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
- ICML 2023Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
- ICML 2023Bi-directional Masks for Efficient N:M Sparse Training
- ICML 2023Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
- ICML 2023Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
- ICML 2023Brainformers: Trading Simplicity for Efficiency
- ICML 2023CLUSTSEG: Clustering for Universal Segmentation
- ICML 2023Compositional Score Modeling for Simulation-Based Inference
- ICML 2023Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- ICML 2023Concept-based Explanations for Out-of-Distribution Detectors
- ICML 2023Coordinate Descent Methods for Fractional Minimization
- ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
- ICML 2023Data Structures for Density Estimation
- ICML 2023Data-Driven Subgroup Identification for Linear Regression
- ICML 2023Deep Laplacian-based Options for Temporally-Extended Exploration
- ICML 2023DevFormer: A Symmetric Transformer for Context-Aware Device Placement
- ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
- ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
- ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
- ICML 2023DoCoFL: Downlink Compression for Cross-Device Federated Learning
- ICML 2023Dual Focal Loss for Calibration
- ICML 2023Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
- ICML 2023Efficient preconditioned stochastic gradient descent for estimation in latent variable models
- ICML 2023Efficient Quantum Algorithms for Quantum Optimal Control
- ICML 2023EM-Network: Oracle Guided Self-distillation for Sequence Learning
- ICML 2023Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets
- ICML 2023Equivariant Architectures for Learning in Deep Weight Spaces
- ICML 2023Equivariant Polynomials for Graph Neural Networks
- ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
- ICML 2023Exphormer: Sparse Transformers for Graphs
- ICML 2023Exponential Smoothing for Off-Policy Learning
- ICML 2023Extrapolated Random Tree for Regression
- ICML 2023Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
- ICML 2023Fast Algorithms for Distributed k-Clustering with Outliers
- ICML 2023Fast Combinatorial Algorithms for Min Max Correlation Clustering
- ICML 2023Fast Rates for Maximum Entropy Exploration
- ICML 2023Federated Conformal Predictors for Distributed Uncertainty Quantification
- ICML 2023Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
- ICML 2023Fractional Denoising for 3D Molecular Pre-training
- ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
- ICML 2023Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
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。