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 28 / 118 页
- 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
- NeurIPS 2026Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
- NeurIPS 2026Benchmark for Assessing Olfactory Perception of Large Language Models
- NeurIPS 2026Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials
- NeurIPS 2026Benchmarking Optimizers for Large Language Model Pretraining
- NeurIPS 2026BESS-Bench: Benchmarking Spectral Representations for Be-Star Variability
- NeurIPS 2026Best Arm Identification for Bandits with Shifting Means
- NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
- NeurIPS 2026Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching
- NeurIPS 2026Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
- NeurIPS 2026Beyond Family Labels: A Taxonomic Ornstein-Uhlenbeck Prior for Avian 3D Shape Recovery
- NeurIPS 2026Beyond Flat Gossip: Tiered Gossip Learning for Scalable Collaborative AI
- NeurIPS 2026Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior
- NeurIPS 2026Beyond Linear Decoders: Dynamic Expert-Coupled Optimal Decoding for Time Series Forecasting
- NeurIPS 2026Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
- NeurIPS 2026Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
- NeurIPS 2026Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
- NeurIPS 2026Beyond MSE: Differentiable Complexity Priors for Structure-Preserving Neural Denoising
- NeurIPS 2026Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
- NeurIPS 2026Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation
- NeurIPS 2026Beyond Raw Observations: Distilling and Storing Invariant Driving Memories for Generalizable Autonomous Driving
- NeurIPS 2026Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
- NeurIPS 2026Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
- NeurIPS 2026Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition
- NeurIPS 2026BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
- NeurIPS 2026Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
- NeurIPS 2026Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs
- NeurIPS 2026BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training
- NeurIPS 2026BlenderFORGE: Framework for Optimizing Reactive 3D-Graphics Editing Ability of MLLMs
- NeurIPS 2026Block Optimism for Nonstationary Bandits with Latent Linear Dynamics
- NeurIPS 2026Block-OBS-GS: Exact Per-Block Joint Brain Surgery with Gauss–Seidel Refinement for LLM Pruning
- NeurIPS 2026BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference
- NeurIPS 2026BO-Arena: An Evolving Benchmark for High-Dimensional Bayesian Optimisation
- NeurIPS 2026BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity
- NeurIPS 2026Bootstrapped Bipartite Actor-Critic for Diffusion RL
- NeurIPS 2026Boundary Mass in Feature Space as a Label-Budget Diagnostic for Representations
- NeurIPS 2026Breaking the Synthesis Barrier for AI-Designed DNA Libraries
- NeurIPS 2026BReD: Block Replay Dithering for Stable Low-Bit EMA Optimizer States
- NeurIPS 2026Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning
- NeurIPS 2026Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
- NeurIPS 2026BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
- NeurIPS 2026Bridging Simulation and Reality: Geometry and Decision Alignment for Autonomous Driving
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。