Simulation for Driving papers, 2023–2026

Key findings

• Simulation for Driving went from 969 papers in 2023 to 2,200 in 2026, roughly 2.3x in three years.
• NeurIPS publishes the most Simulation for Driving work: 2,111 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 27 in 2023 to 205 in 2026.
• Among the 5 topics under Autonomous Driving, it ranks #1 by 2026 paper count; the fastest grower in the group, Motion Planning, is up 2.4x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Simulation for Driving papers

364 papers, page 4 of 8

151. CVPR 2024HomoFormer: Homogenized Transformer for Image Shadow Removal
152. CVPR 2024Honeybee: Locality-enhanced Projector for Multimodal LLM
153. CVPR 2024How to Configure Good In-Context Sequence for Visual Question Answering
154. CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
155. CVPR 2024Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
156. CVPR 2024ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
157. CVPR 2024IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration
158. CVPR 2024Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
159. CVPR 2024Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
160. CVPR 2024In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
161. CVPR 2024In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
162. CVPR 2024Initialization Matters for Adversarial Transfer Learning
163. CVPR 2024Inlier Confidence Calibration for Point Cloud Registration
164. CVPR 2024Intensity-Robust Autofocus for Spike Camera
165. CVPR 2024Intrinsic Image Diffusion for Indoor Single-view Material Estimation
166. CVPR 2024IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images
167. CVPR 2024Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
168. CVPR 2024JointSQ: Joint Sparsification-Quantization for Distributed Learning
169. CVPR 2024KeyPoint Relative Position Encoding for Face Recognition
170. CVPR 2024L0-Sampler: An L0 Model Guided Volume Sampling for NeRF
171. CVPR 2024L2B: Learning to Bootstrap Robust Models for Combating Label Noise
172. CVPR 2024LAENeRF: Local Appearance Editing for Neural Radiance Fields
173. CVPR 2024LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs
174. CVPR 2024LAN: Learning to Adapt Noise for Image Denoising
175. CVPR 2024Language Models as Black-Box Optimizers for Vision-Language Models
176. CVPR 2024LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
177. CVPR 2024LEAD: Exploring Logit Space Evolution for Model Selection
178. CVPR 2024LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
179. CVPR 2024Learned Trajectory Embedding for Subspace Clustering
180. CVPR 2024Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
181. CVPR 2024Learning Degradation-Independent Representations for Camera ISP Pipelines
182. CVPR 2024Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
183. CVPR 2024Learning Diffusion Texture Priors for Image Restoration
184. CVPR 2024Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection
185. CVPR 2024Learning Inclusion Matching for Animation Paint Bucket Colorization
186. CVPR 2024Learning to Produce Semi-dense Correspondences for Visual Localization
187. CVPR 2024Learning to Transform Dynamically for Better Adversarial Transferability
188. CVPR 2024Learning Transferable Negative Prompts for Out-of-Distribution Detection
189. CVPR 2024Learning Visual Prompt for Gait Recognition
190. CVPR 2024Learning with Structural Labels for Learning with Noisy Labels
191. CVPR 2024LEOD: Label-Efficient Object Detection for Event Cameras
192. CVPR 2024Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
193. CVPR 2024LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
194. CVPR 2024Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
195. CVPR 2024Link-Context Learning for Multimodal LLMs
196. CVPR 2024LMDrive: Closed-Loop End-to-End Driving with Large Language Models
197. CVPR 2024Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
198. CVPR 2024LoCoNet: Long-Short Context Network for Active Speaker Detection
199. CVPR 2024Logarithmic Lenses: Exploring Log RGB Data for Image Classification
200. CVPR 2024Loopy-SLAM: Dense Neural SLAM with Loop Closures

FAQ

How many Simulation for Driving papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,882 in total: 969 in 2023, 1,308 in 2024, 1,405 in 2025, 2,200 in 2026.

How many Simulation for Driving papers are at NeurIPS 2026?

NeurIPS 2026 has 940 Simulation for Driving papers, versus 542 the year before.

How many Simulation for Driving papers are at ICLR 2026?

ICLR 2026 has 313 Simulation for Driving papers, versus 228 the year before.

How many Simulation for Driving papers are at ICML 2026?

ICML 2026 has 363 Simulation for Driving papers, versus 275 the year before.

How many Simulation for Driving papers are at CVPR 2026?

CVPR 2026 has 584 Simulation for Driving papers, versus 360 the year before.

Which conference publishes the most Simulation for Driving papers?

NeurIPS, with 2,111 papers from 2023 to 2026.