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 358 篇，第 2 / 8 页

51. ICML 2024Bifurcated Attention for Single-Context Large-Batch Sampling
52. ICML 2024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
53. ICML 2024BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
54. ICML 2024Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
55. ICML 2024Borda Regret Minimization for Generalized Linear Dueling Bandits
56. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
57. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
58. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
59. ICML 2024Can a Few Decide for Many? The Metric Distortion of Sortition
60. ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
61. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
62. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
63. ICML 2024Collage: Light-Weight Low-Precision Strategy for LLM Training
64. ICML 2024Compositional Curvature Bounds for Deep Neural Networks
65. ICML 2024Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation
66. ICML 2024Confidence-aware Contrastive Learning for Selective Classification
67. ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
68. ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
69. ICML 2024Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
70. ICML 2024Copyright Traps for Large Language Models
71. ICML 2024Coresets for Multiple $\ell_p$ Regression
72. ICML 2024Critical feature learning in deep neural networks
73. ICML 2024CW Complex Hypothesis for Image Data
74. ICML 2024Data Engineering for Scaling Language Models to 128K Context
75. ICML 2024Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling
76. ICML 2024Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration
77. ICML 2024Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
78. ICML 2024Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA
79. ICML 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
80. ICML 2024DFD: Distilling the Feature Disparity Differently for Detectors
81. ICML 2024diff History for Neural Language Agents
82. ICML 2024DiffDA: a Diffusion model for weather-scale Data Assimilation
83. ICML 2024Differentially private exact recovery for stochastic block models
84. ICML 2024Differentially Private Post-Processing for Fair Regression
85. ICML 2024Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
86. ICML 2024DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
87. ICML 2024DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
88. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
89. ICML 2024Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
90. ICML 2024DistiLLM: Towards Streamlined Distillation for Large Language Models
91. ICML 2024Diversified Batch Selection for Training Acceleration
92. ICML 2024Double Momentum Method for Lower-Level Constrained Bilevel Optimization
93. ICML 2024Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
94. ICML 2024DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training
95. ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
96. ICML 2024Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
97. ICML 2024DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
98. ICML 2024eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
99. ICML 2024Efficient Error Certification for Physics-Informed Neural Networks
100. ICML 2024Efficient Value Iteration for s-rectangular Robust Markov Decision Processes

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。