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 1,405 篇,第 21 / 29 页
- NeurIPS 2025DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
- NeurIPS 2025Distances for Markov chains from sample streams
- NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
- NeurIPS 2025dKV-Cache: The Cache for Diffusion Language Models
- NeurIPS 2025DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel
- NeurIPS 2025Does Stochastic Gradient really succeed for bandits?
- NeurIPS 2025Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
- NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
- NeurIPS 2025Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy
- NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
- NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
- NeurIPS 2025DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
- NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
- NeurIPS 2025DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism
- NeurIPS 2025DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
- NeurIPS 2025EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
- NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
- NeurIPS 2025Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
- NeurIPS 2025Efficient Quadratic Corrections for Frank-Wolfe Algorithms
- NeurIPS 2025Efficient Verified Unlearning For Distillation
- NeurIPS 2025EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis
- NeurIPS 2025ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
- NeurIPS 2025Embedding Principle of Homogeneous Neural Network for Classification Problem
- NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
- NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
- NeurIPS 2025Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
- NeurIPS 2025Enhancing 3D Reconstruction for Dynamic Scenes
- NeurIPS 2025Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
- NeurIPS 2025Environment Inference for Learning Generalizable Dynamical System
- NeurIPS 2025Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
- NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
- NeurIPS 2025Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
- NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
- NeurIPS 2025Exploring Landscapes for Better Minima along Valleys
- NeurIPS 2025Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining
- NeurIPS 2025Exponential Convergence Guarantees for Iterative Markovian Fitting
- NeurIPS 2025Exponential Dynamic Energy Network for High Capacity Sequence Memory
- NeurIPS 2025Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
- NeurIPS 2025Faster Algorithms for Structured John Ellipsoid Computation
- NeurIPS 2025Faster Fixed-Point Methods for Multichain MDPs
- NeurIPS 2025FastVID: Dynamic Density Pruning for Fast Video Large Language Models
- NeurIPS 2025FedEL: Federated Elastic Learning for Heterogeneous Devices
- NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
- NeurIPS 2025First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training
- NeurIPS 2025Flexible inference for animal learning rules using neural networks
- NeurIPS 2025FlexOLMo: Open Language Models for Flexible Data Use
- NeurIPS 2025FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
- NeurIPS 2025FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
- NeurIPS 2025Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
- NeurIPS 2025For Better or for Worse, Transformers Seek Patterns for Memorization
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。