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 13 / 27 页
- ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
- ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
- ICML 2024Collage: Light-Weight Low-Precision Strategy for LLM Training
- ICML 2024Compositional Curvature Bounds for Deep Neural Networks
- ICML 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
- ICML 2024Confidence-aware Contrastive Learning for Selective Classification
- ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
- ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
- ICML 2024Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
- ICML 2024Copyright Traps for Large Language Models
- ICML 2024Coresets for Multiple $\ell_p$ Regression
- ICML 2024Critical feature learning in deep neural networks
- ICML 2024CW Complex Hypothesis for Image Data
- ICML 2024Data Engineering for Scaling Language Models to 128K Context
- ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
- ICML 2024Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
- ICML 2024Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
- ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
- ICML 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
- ICML 2024DFD: Distilling the Feature Disparity Differently for Detectors
- ICML 2024diff History for Neural Language Agents
- ICML 2024DiffDA: a Diffusion model for weather-scale Data Assimilation
- ICML 2024Differentially private exact recovery for stochastic block models
- ICML 2024Differentially Private Post-Processing for Fair Regression
- ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
- ICML 2024DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
- ICML 2024DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
- ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
- ICML 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
- ICML 2024DistiLLM: Towards Streamlined Distillation for Large Language Models
- ICML 2024Diversified Batch Selection for Training Acceleration
- ICML 2024Double Momentum Method for Lower-Level Constrained Bilevel Optimization
- ICML 2024Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
- ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
- ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
- ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
- ICML 2024DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
- ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
- ICML 2024Efficient Error Certification for Physics-Informed Neural Networks
- ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
- ICML 2024ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
- ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
- ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
- ICML 2024Ensemble Pruning for Out-of-distribution Generalization
- ICML 2024Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
- ICML 2024Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
- ICML 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
- ICML 2024EvIL: Evolution Strategies for Generalisable Imitation Learning
- ICML 2024Evolution-Inspired Loss Functions for Protein Representation Learning
- ICML 2024Evolving Subnetwork Training for Large Language 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。