驾驶仿真论文趋势 2023–2026

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。

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 313 篇，第 2 / 7 页

51. ICLR 2026Computational Bottlenecks for Denoising Diffusions
52. ICLR 2026Conditioned Initialization for Attention
53. ICLR 2026ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask
54. ICLR 2026Contact Wasserstein Geodesics for Non-Conservative Schrödinger Bridges
55. ICLR 2026COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models
56. ICLR 2026Cost-of-Pass: An Economic Framework for Evaluating Language Models
57. ICLR 2026Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data
58. ICLR 2026Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
59. ICLR 2026CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
60. ICLR 2026Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness
61. ICLR 2026D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping
62. ICLR 2026DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training
63. ICLR 2026Data Selection for LLM Alignment Using Fine-Grained Preferences
64. ICLR 2026DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
65. ICLR 2026Death of the Novel(ty): Beyond N-Gram Novelty as a Metric for Textual Creativity
66. ICLR 2026Decision-Theoretic Approaches for Improved Learning-Augmented Algorithms
67. ICLR 2026DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
68. ICLR 2026DeNOTS: Stable Deep Neural ODEs for Time Series
69. ICLR 2026Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
70. ICLR 2026DexNDM: Closing the Reality Gap for Dexterous In-Hand Rotation via Joint-Wise Neural Dynamics Model
71. ICLR 2026DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
72. ICLR 2026Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
73. ICLR 2026Dimension-Free Decision Calibration for Nonlinear Loss Functions
74. ICLR 2026Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
75. ICLR 2026Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
76. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
77. ICLR 2026DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
78. ICLR 2026Distributed Algorithms for Euclidean Clustering
79. ICLR 2026DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
80. ICLR 2026Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity
81. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
82. ICLR 2026dParallel: Learnable Parallel Decoding for dLLMs
83. ICLR 2026DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
84. ICLR 2026DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning
85. ICLR 2026DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
86. ICLR 2026DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
87. ICLR 2026DTP: Delta-Guided Two Stage Pruning for Mamba-based Multimodal Large Language Models
88. ICLR 2026DynamicInfer: Runtime-Aware Sparse Offloading for LLMs Inference on a Consumer-Grade GPU
89. ICLR 2026e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
90. ICLR 2026Efficient algorithms for Incremental Metric Bipartite Matching
91. ICLR 2026Efficient Autoregressive Inference for Transformer Probabilistic Models
92. ICLR 2026Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
93. ICLR 2026Efficient Message-Passing Transformer for Error Correcting Codes
94. ICLR 2026Efficient Submodular Maximization for Sums of Concave over Modular Functions
95. ICLR 2026Efficient Turing Machine Simulation with Transformers
96. ICLR 2026EMFuse: Energy-based Model Fusion for Decision Making
97. ICLR 2026Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents
98. ICLR 2026Entropy-Based Block Pruning for Efficient Large Language Models
99. ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
100. ICLR 2026Evidence for Limited Metacognition in LLMs

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。