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

969 papers, page 3 of 20

101. CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
102. CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
103. CVPR 2023DisWOT: Student Architecture Search for Distillation WithOut Training
104. CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
105. CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
106. CVPR 2023DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation
107. CVPR 2023DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
108. CVPR 2023DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
109. CVPR 2023DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
110. CVPR 2023DynaMask: Dynamic Mask Selection for Instance Segmentation
111. CVPR 2023Dynamic Aggregated Network for Gait Recognition
112. CVPR 2023Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection
113. CVPR 2023Dynamic Focus-Aware Positional Queries for Semantic Segmentation
114. CVPR 2023DynamicDet: A Unified Dynamic Architecture for Object Detection
115. CVPR 2023EC2: Emergent Communication for Embodied Control
116. CVPR 2023EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
117. CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
118. CVPR 2023EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging
119. CVPR 2023Endpoints Weight Fusion for Class Incremental Semantic Segmentation
120. CVPR 2023Evolved Part Masking for Self-Supervised Learning
121. CVPR 2023EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction
122. CVPR 2023Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
123. CVPR 2023Explicit Visual Prompting for Low-Level Structure Segmentations
124. CVPR 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
125. CVPR 2023Exploring Data Geometry for Continual Learning
126. CVPR 2023Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
127. CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
128. CVPR 2023FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
129. CVPR 2023FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction
130. CVPR 2023FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures
131. CVPR 2023FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
132. CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
133. CVPR 2023FlexiViT: One Model for All Patch Sizes
134. CVPR 2023Flow Supervision for Deformable NeRF
135. CVPR 2023FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
136. CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
137. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
138. CVPR 2023GamutMLP: A Lightweight MLP for Color Loss Recovery
139. CVPR 2023Gaussian Label Distribution Learning for Spherical Image Object Detection
140. CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
141. CVPR 2023Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera
142. CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
143. CVPR 2023Genie: Show Me the Data for Quantization
144. CVPR 2023GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction
145. CVPR 2023GINA-3D: Learning To Generate Implicit Neural Assets in the Wild
146. CVPR 2023Gloss Attention for Gloss-Free Sign Language Translation
147. CVPR 2023Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
148. CVPR 2023Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
149. CVPR 2023Grid-Guided Neural Radiance Fields for Large Urban Scenes
150. CVPR 2023Ground-Truth Free Meta-Learning for Deep Compressive Sampling

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.