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 358 篇，第 4 / 8 页
- ICML 2024In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
- ICML 2024Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints
- ICML 2024InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
- ICML 2024Interpretable Deep Clustering for Tabular Data
- ICML 2024Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
- ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
- ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
- ICML 2024Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
- ICML 2024Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
- ICML 2024Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
- ICML 2024Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
- ICML 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
- ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
- ICML 2024LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
- ICML 2024Latent variable model for high-dimensional point process with structured missingness
- ICML 2024Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition
- ICML 2024Learning Latent Dynamic Robust Representations for World Models
- ICML 2024Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- ICML 2024Learning Pseudo-Contractive Denoisers for Inverse Problems
- ICML 2024Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
- ICML 2024Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
- ICML 2024Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
- ICML 2024Learning to Explore for Stochastic Gradient MCMC
- ICML 2024Learning to Scale Logits for Temperature-Conditional GFlowNets
- ICML 2024Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
- ICML 2024LESS: Selecting Influential Data for Targeted Instruction Tuning
- ICML 2024Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing
- ICML 2024LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
- ICML 2024Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
- ICML 2024Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
- ICML 2024Linear Explanations for Individual Neurons
- ICML 2024Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
- ICML 2024LLark: A Multimodal Instruction-Following Language Model for Music
- ICML 2024Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
- ICML 2024Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
- ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
- ICML 2024LoCoCo: Dropping In Convolutions for Long Context Compression
- ICML 2024Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
- ICML 2024Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
- ICML 2024LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
- ICML 2024LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
- ICML 2024MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation
- ICML 2024Making Old Things New: A Unified Algorithm for Differentially Private Clustering
- ICML 2024Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
- ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
- ICML 2024Mechanistic Neural Networks for Scientific Machine Learning
- ICML 2024Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
- ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
- ICML 2024MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
- ICML 2024MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
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。