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 899 篇,第 6 / 18 页
- ICLR 2026Selective Data Removal for Distributional Machine Unlearning
- ICLR 2026SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
- ICLR 2026SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
- ICLR 2026ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
- ICLR 2026Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
- ICLR 2026SinkTrack: Attention Sink based Context Anchoring for Large Language Models
- ICLR 2026SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
- ICLR 2026SkyEvents: A Large-Scale Event-enhanced UAV Dataset for Robust 3D Scene Reconstruction
- ICLR 2026SliderQuant: Accurate Post-Training Quantization for LLMs
- ICLR 2026SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
- ICLR 2026SparseD: Sparse Attention for Diffusion Language Models
- ICLR 2026Spatially Informed Autoencoders for Interpretable Visual Representation Learning
- ICLR 2026Spectral Attention Steering for Prompt Highlighting
- ICLR 2026Speculative Actions: A Lossless Framework for Faster AI Agents
- ICLR 2026Spike-based Digital Brain: a novel fundamental model for brain activity analysis
- ICLR 2026Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
- ICLR 2026SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
- ICLR 2026Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
- ICLR 2026STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models
- ICLR 2026STAR: Strategy-driven Automatic Jailbreak Red-teaming For Large Language Model
- ICLR 2026STARK: Strategic Team of Agents for Refining Kernels
- ICLR 2026station2radar: query‑conditioned gaussian splatting for precipitation field
- ICLR 2026STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
- ICLR 2026Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding
- ICLR 2026SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
- ICLR 2026Sublinear Time Quantum Algorithm for Attention Approximation
- ICLR 2026SWE-RM: Execution-free Feedback for Software Engineering Agents
- ICLR 2026Symmetric Space Learning for Combinatorial Generalization
- ICLR 2026T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation
- ICLR 2026Taming Curvature: Architecture Warm-up for Stable Transformer Training
- ICLR 2026TEMPFLOW-GRPO: WHEN TIMING MATTERS FOR GRPO IN FLOW MODELS
- ICLR 2026Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability
- ICLR 2026Tequila: Deadzone-free Ternary Quantization for Large Language Models
- ICLR 2026Test-Time Iterative Error Correction for Efficient Diffusion Models
- ICLR 2026Textual Equilibrium Propagation for Deep Compound AI Systems
- ICLR 2026The Expressive Limits of Diagonal SSMs for State-Tracking
- ICLR 2026Theoretical Guarantees for Causal Discovery on Large Random Graphs
- ICLR 2026Tight Bounds for Schrodinger Potential Estimation in Unpaired Data Translation
- ICLR 2026Token-level Data Selection for Safe LLM Fine-tuning
- ICLR 2026Towards Sampling Data Structures for Tensor Products in Turnstile Streams
- ICLR 2026Traceable Black-Box Watermarks For Federated Learning
- ICLR 2026Train Once, Answer All: Many Pretraining Experiments for the Cost of One
- ICLR 2026TrajTok: What makes for a good trajectory tokenizer in behavior generation?
- ICLR 2026Triangle Multiplication is All You Need for Biomolecular Structure Representations
- ICLR 2026Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
- ICLR 2026TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix
- ICLR 2026Unbalanced Soft-Matching Distance For Neural Representational Comparison With Partial Unit Correspondence
- ICLR 2026Unbiased Gradient Estimation for Event Binning via Functional Backpropagation
- ICLR 2026Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
- ICLR 2026UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction
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。