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 1,308 篇，第 11 / 27 页
- ICLR 2024SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
- ICLR 2024Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
- ICLR 2024Small-scale proxies for large-scale Transformer training instabilities
- ICLR 2024SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
- ICLR 2024Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
- ICLR 2024Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
- ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
- ICLR 2024Sparse MoE with Language Guided Routing for Multilingual Machine Translation
- ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
- ICLR 2024Sparsistency for inverse optimal transport
- ICLR 2024Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
- ICLR 2024SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
- ICLR 2024Stochastic Controlled Averaging for Federated Learning with Communication Compression
- ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right
- ICLR 2024Sufficient conditions for offline reactivation in recurrent neural networks
- ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
- ICLR 2024Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
- ICLR 2024Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
- ICLR 2024TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
- ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
- ICLR 2024Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
- ICLR 2024The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
- ICLR 2024The Marginal Value of Momentum for Small Learning Rate SGD
- ICLR 2024Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
- ICLR 2024Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
- ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
- ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
- ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
- ICLR 2024Towards Establishing Guaranteed Error for Learned Database Operations
- ICLR 2024Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
- ICLR 2024Trajeglish: Traffic Modeling as Next-Token Prediction
- ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
- ICLR 2024UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
- ICLR 2024Unbiased Watermark for Large Language Models
- ICLR 2024Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
- ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
- ICLR 2024Variational Inference for SDEs Driven by Fractional Noise
- ICLR 2024What does automatic differentiation compute for neural networks?
- ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
- ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
- ICML 2024$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
- ICML 2024$H$-Consistency Guarantees for Regression
- ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
- ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
- ICML 2024A Dynamic Algorithm for Weighted Submodular Cover Problem
- ICML 2024A fast algorithm to simulate nonlinear resistive networks
- ICML 2024A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
- ICML 2024A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
- ICML 2024A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
- ICML 2024A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs
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。