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 182 篇，第 3 / 4 页

101. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
102. ICLR 2023Meta Knowledge Condensation for Federated Learning
103. ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
104. ICLR 2023Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
105. ICLR 2023Near-optimal Coresets for Robust Clustering
106. ICLR 2023NeRN: Learning Neural Representations for Neural Networks
107. ICLR 2023Neural Bregman Divergences for Distance Learning
108. ICLR 2023Neural Design for Genetic Perturbation Experiments
109. ICLR 2023Neural-based classification rule learning for sequential data
110. ICLR 2023Noise Injection Node Regularization for Robust Learning
111. ICLR 2023Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
112. ICLR 2023ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
113. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
114. ICLR 2023On amortizing convex conjugates for optimal transport
115. ICLR 2023On Pre-training Language Model for Antibody
116. ICLR 2023On The Relative Error of Random Fourier Features for Preserving Kernel Distance
117. ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
118. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
119. ICLR 2023Optimal Transport for Offline Imitation Learning
120. ICLR 2023Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
121. ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
122. ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
123. ICLR 2023Packed Ensembles for efficient uncertainty estimation
124. ICLR 2023PatchDCT: Patch Refinement for High Quality Instance Segmentation
125. ICLR 2023Phase transition for detecting a small community in a large network
126. ICLR 2023Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
127. ICLR 2023PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
128. ICLR 2023Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
129. ICLR 2023Policy-Based Self-Competition for Planning Problems
130. ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
131. ICLR 2023Preference Transformer: Modeling Human Preferences using Transformers for RL
132. ICLR 2023Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
133. ICLR 2023Progress measures for grokking via mechanistic interpretability
134. ICLR 2023Progressive Prompts: Continual Learning for Language Models
135. ICLR 2023Prototypical Calibration for Few-shot Learning of Language Models
136. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
137. ICLR 2023Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
138. ICLR 2023Random Laplacian Features for Learning with Hyperbolic Space
139. ICLR 2023Re-calibrating Feature Attributions for Model Interpretation
140. ICLR 2023REPAIR: REnormalizing Permuted Activations for Interpolation Repair
141. ICLR 2023Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
142. ICLR 2023Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
143. ICLR 2023Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
144. ICLR 2023Revisiting the Assumption of Latent Separability for Backdoor Defenses
145. ICLR 2023S-NeRF: Neural Radiance Fields for Street Views
146. ICLR 2023Schema Inference for Interpretable Image Classification
147. ICLR 2023SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
148. ICLR 2023Selective Frequency Network for Image Restoration
149. ICLR 2023SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
150. ICLR 2023Sequential Attention for Feature Selection

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。