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 3 of 8

101. CVPR 2024Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
102. CVPR 2024Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
103. CVPR 2024DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
104. CVPR 2024Dual Prior Unfolding for Snapshot Compressive Imaging
105. CVPR 2024Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning
106. CVPR 2024Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
107. CVPR 2024Dual-View Visual Contextualization for Web Navigation
108. CVPR 2024DualAD: Disentangling the Dynamic and Static World for End-to-End Driving
109. CVPR 2024DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
110. CVPR 2024Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
111. CVPR 2024Dynamic LiDAR Re-simulation using Compositional Neural Fields
112. CVPR 2024Dynamic Support Information Mining for Category-Agnostic Pose Estimation
113. CVPR 2024ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
114. CVPR 2024Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
115. CVPR 2024EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
116. CVPR 2024Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion
117. CVPR 2024Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
118. CVPR 2024Epistemic Uncertainty Quantification For Pre-Trained Neural Networks
119. CVPR 2024ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
120. CVPR 2024Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
121. CVPR 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
122. CVPR 2024Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
123. CVPR 2024Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
124. CVPR 2024Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
125. CVPR 2024Feedback-Guided Autonomous Driving
126. CVPR 2024Fine-Grained Bipartite Concept Factorization for Clustering
127. CVPR 2024Flow-Guided Online Stereo Rectification for Wide Baseline Stereo
128. CVPR 2024FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
129. CVPR 2024Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
130. CVPR 2024From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
131. CVPR 2024From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
132. CVPR 2024FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features
133. CVPR 2024Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI
134. CVPR 2024G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
135. CVPR 2024Gaussian Shadow Casting for Neural Characters
136. CVPR 2024GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
137. CVPR 2024GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
138. CVPR 2024Generalized Predictive Model for Autonomous Driving
139. CVPR 2024Generating Content for HDR Deghosting from Frequency View
140. CVPR 2024Generating Enhanced Negatives for Training Language-Based Object Detectors
141. CVPR 2024GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
142. CVPR 2024Geometry Transfer for Stylizing Radiance Fields
143. CVPR 2024GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement
144. CVPR 2024GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
145. CVPR 2024GS-IR: 3D Gaussian Splatting for Inverse Rendering
146. CVPR 2024Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
147. CVPR 2024HardMo: A Large-Scale Hardcase Dataset for Motion Capture
148. CVPR 2024Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
149. CVPR 2024Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation
150. CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction

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.