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 5,881 篇，第 15 / 118 页
- ICLR 2026GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
- ICLR 2026H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
- ICLR 2026Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
- ICLR 2026Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
- ICLR 2026High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification
- ICLR 2026High-dimensional Mean-Field Games by Particle-based Flow Matching
- ICLR 2026High-Probability Bounds for the Last Iterate of Clipped SGD
- ICLR 2026HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning
- ICLR 2026Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
- ICLR 2026HOTA: Hamiltonian framework for Optimal Transport Advection
- ICLR 2026IceCache: Memory-Efficient KV-cache Management for Long-Sequence LLMs
- ICLR 2026IDER: IDEMPOTENT EXPERIENCE REPLAY FOR RELIABLE CONTINUAL LEARNING
- ICLR 2026Implicit Sensing for Fourier Sparse Boolean Functions
- ICLR 2026Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism
- ICLR 2026In Good GRACES: Principled Teacher Selection for Knowledge Distillation
- ICLR 2026In-Context Compositional Q-Learning for Offline Reinforcement Learning
- ICLR 2026InfGen: Scenario Generation as Next Token Group Prediction
- ICLR 2026Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study
- ICLR 2026Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
- ICLR 2026It's All Just Vectorization: einx, a Universal Notation for Tensor Operations
- ICLR 2026Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
- ICLR 2026Jailbreaking the Matrix: Nullspace Steering for Controlled Model Subversion
- ICLR 2026Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
- ICLR 2026Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
- ICLR 2026KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff
- ICLR 2026KV-Cache Transform Coding for Compact Storage in LLM Inference
- ICLR 2026LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
- ICLR 2026Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
- ICLR 2026Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
- ICLR 2026LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
- ICLR 2026LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
- ICLR 2026Lean Finder: Semantic Search for Mathlib That Understands User Intents
- ICLR 2026LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
- ICLR 2026Learning Escorted Protocols For Multistate Free-Energy Estimation
- ICLR 2026Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
- ICLR 2026Learning for Highly Faithful Explainability
- ICLR 2026Learning to Segment for Vehicle Routing Problems
- ICLR 2026Learning to Weight Parameters for Training Data Attribution
- ICLR 2026Learning under Quantization for High-Dimensional Linear Regression
- ICLR 2026LEGACY: A Lightweight Dynamic Gradient Compression Strategy for Distributed Deep Learning
- ICLR 2026LeRobot: An Open-Source Library for End-to-End Robot Learning
- ICLR 2026Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
- ICLR 2026Libra: Effective yet Efficient Load Balancing for Large-scale MoE Inference
- ICLR 2026Lifelong Learning with Behavior Consolidation for Vehicle Routing
- ICLR 2026LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
- ICLR 2026Lookahead Tree-Based Rollouts for Enhanced Trajectory-Level Exploration in Reinforcement Learning with Verifiable Rewards
- ICLR 2026Lossless Vocabulary Reduction for Auto-Regressive Language Models
- ICLR 2026MambaSL: Exploring Single-Layer Mamba for Time Series Classification
- ICLR 2026Matching without Group Barrier for Heterogeneous Treatment Effect Estimation
- ICLR 2026MAVEN: A Mesh-Aware Volumetric Encoding Network for Simulating 3D Flexible Deformation
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。