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 10 / 29 页
- ICLR 2025How Gradient descent balances features: A dynamical analysis for two-layer neural networks
- ICLR 2025How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
- ICLR 2025Hymba: A Hybrid-head Architecture for Small Language Models
- ICLR 2025Identifiability for Gaussian Processes with Holomorphic Kernels
- ICLR 2025Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
- ICLR 2025Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
- ICLR 2025Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
- ICLR 2025Improved Training Technique for Latent Consistency Models
- ICLR 2025ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
- ICLR 2025Indirect Gradient Matching for Adversarial Robust Distillation
- ICLR 2025Injective flows for star-like manifolds
- ICLR 2025Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
- ICLR 2025Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
- ICLR 2025Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs
- ICLR 2025Isometric Regularization for Manifolds of Functional Data
- ICLR 2025K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
- ICLR 2025kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
- ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
- ICLR 2025Lawma: The Power of Specialization for Legal Annotation
- ICLR 2025Layerwise Recurrent Router for Mixture-of-Experts
- ICLR 2025Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
- ICLR 2025Learning Harmonized Representations for Speculative Sampling
- ICLR 2025Learning LLM-as-a-Judge for Preference Alignment
- ICLR 2025Learning local equivariant representations for quantum operators
- ICLR 2025Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
- ICLR 2025Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
- ICLR 2025Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
- ICLR 2025Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
- ICLR 2025Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
- ICLR 2025Looking Inward: Language Models Can Learn About Themselves by Introspection
- ICLR 2025ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
- ICLR 2025MCNC: Manifold-Constrained Reparameterization for Neural Compression
- ICLR 2025MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
- ICLR 2025MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
- ICLR 2025MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
- ICLR 2025Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
- ICLR 2025Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures
- ICLR 2025Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
- ICLR 2025MiniPLM: Knowledge Distillation for Pre-training Language Models
- ICLR 2025Mixture of Attentions For Speculative Decoding
- ICLR 2025MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
- ICLR 2025MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
- ICLR 2025MoDeGPT: Modular Decomposition for Large Language Model Compression
- ICLR 2025Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
- ICLR 2025MUSE: Machine Unlearning Six-Way Evaluation for Language Models
- ICLR 2025Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
- ICLR 2025Neural Approximate Mirror Maps for Constrained Diffusion Models
- ICLR 2025Neural Functions for Learning Periodic Signal
- ICLR 2025New Algorithms for the Learning-Augmented k-means Problem
- ICLR 2025No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
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。