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 940 篇,第 2 / 19 页
- NeurIPS 2026Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
- NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
- NeurIPS 2026All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
- NeurIPS 2026AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization
- NeurIPS 2026Amortized Guidance for Image Inpainting with Pretrained Diffusion Models
- NeurIPS 2026An Efficient Algorithm for Thresholding Monte Carlo Tree Search
- NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
- NeurIPS 2026AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation
- NeurIPS 2026AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization
- NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
- NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
- NeurIPS 2026AppCIF-Bench: An Application-Level Complex Instruction Following Benchmark for Large Language Models
- NeurIPS 2026Approximate Bayesian inference with exchangeable distributions for neurosymbolic AI
- NeurIPS 2026Approximate Memory Suffices for Universal Approximation with State Space Models
- NeurIPS 2026Approximation Algorithms for GPU Pricing under Finite Capacity
- NeurIPS 2026AptaBench: A Benchmark for Aptamer-Small Molecule Binding
- NeurIPS 2026AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting
- NeurIPS 2026Arbitrarily Conditioned Hierarchical Flows for Spatiotemporal Events
- NeurIPS 2026Argus: A Cross-Regime Benchmark for the Transferability of Uncertainty Quantification in Computer-Use Agents
- NeurIPS 2026ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
- NeurIPS 2026ASAP: Assembly-Source Aligned Pseudocode Refinement For Binary Decompilation
- NeurIPS 2026Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents?
- NeurIPS 2026AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
- NeurIPS 2026Assistive Dueling Bandits: No-Regret Algorithms for Assisting No-Regret Users
- NeurIPS 2026ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations
- NeurIPS 2026ASVQ: What Reparameterization Is Just Enough for Efficient Codebook Learning?
- NeurIPS 2026Asymmetric Factorization for Low-Rank PSD Learning: When Is the Relaxation Exact ?
- NeurIPS 2026Asymptotic Anytime-Valid Inference for U-statistics
- NeurIPS 2026Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means
- NeurIPS 2026AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
- NeurIPS 2026AtmoZero: Self-Play Post-Training for Caption-Free Weather Time-Series Captioning
- NeurIPS 2026Attention-based Routing for Interpretable Multimodal Brain Encoding
- NeurIPS 2026Attention-Based Sampler for Diffusion Language Models
- NeurIPS 2026Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models
- NeurIPS 2026Attribution-Guided Exit Policy for Reliable Early-Exit Inference
- NeurIPS 2026Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
- NeurIPS 2026Automatically Refining Coding Rules for AI Coding Agents
- NeurIPS 2026Autoregressive Appearance Prediction for 3D Gaussian Avatars
- NeurIPS 2026AWP: Activation-based Window Pruning for Gigapixel Object Detection
- NeurIPS 2026B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
- NeurIPS 2026BA-T: An Iterative Transformer for Two-View Bundle Adjustment
- NeurIPS 2026Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
- NeurIPS 2026BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
- NeurIPS 2026BalCapRL : A Balanced Framework for RL-Based MLLM Image Captioning
- NeurIPS 2026BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation
- NeurIPS 2026BEAKER: An Expert-Curated Benchmark for Embodied Brains in Self-Driving Chemical Laboratories
- NeurIPS 2026Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback
- NeurIPS 2026Behavior-Discriminative Reward Shaping for Reward-Robust Reinforcement Learning
- NeurIPS 2026Behavioral Foundation Models for Quality Diversity
- NeurIPS 2026Behaviour4All: A Dependency-Aware Toolkit for in-the-wild Facial Behaviour Analysis
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。