Simulation for Driving papers, 2023–2026
Closed-loop simulation
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 5,882 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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
5,881 papers, page 102 of 118
- CVPR 2023Gaussian Label Distribution Learning for Spherical Image Object Detection
- CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
- CVPR 2023Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera
- CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
- CVPR 2023Genie: Show Me the Data for Quantization
- CVPR 2023GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction
- CVPR 2023GINA-3D: Learning To Generate Implicit Neural Assets in the Wild
- CVPR 2023Gloss Attention for Gloss-Free Sign Language Translation
- CVPR 2023Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
- CVPR 2023Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
- CVPR 2023Grid-Guided Neural Radiance Fields for Large Urban Scenes
- CVPR 2023Ground-Truth Free Meta-Learning for Deep Compressive Sampling
- CVPR 2023gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
- CVPR 2023HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions
- CVPR 2023HandNeRF: Neural Radiance Fields for Animatable Interacting Hands
- CVPR 2023HexPlane: A Fast Representation for Dynamic Scenes
- CVPR 2023Hierarchical Neural Memory Network for Low Latency Event Processing
- CVPR 2023HNeRV: A Hybrid Neural Representation for Videos
- CVPR 2023HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
- CVPR 2023HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
- CVPR 2023How To Prevent the Poor Performance Clients for Personalized Federated Learning?
- CVPR 2023Hybrid Neural Rendering for Large-Scale Scenes With Motion Blur
- CVPR 2023Hyperbolic Contrastive Learning for Visual Representations Beyond Objects
- CVPR 2023Hyperspherical Embedding for Point Cloud Completion
- CVPR 2023iDisc: Internal Discretization for Monocular Depth Estimation
- CVPR 2023Images Speak in Images: A Generalist Painter for In-Context Visual Learning
- CVPR 2023Implicit Diffusion Models for Continuous Super-Resolution
- CVPR 2023Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
- CVPR 2023Implicit Surface Contrastive Clustering for LiDAR Point Clouds
- CVPR 2023Improved Distribution Matching for Dataset Condensation
- CVPR 2023Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
- CVPR 2023Iterative Geometry Encoding Volume for Stereo Matching
- CVPR 2023K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring
- CVPR 2023Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
- CVPR 2023Label Information Bottleneck for Label Enhancement
- CVPR 2023Large-Scale Training Data Search for Object Re-Identification
- CVPR 2023Learning a Deep Color Difference Metric for Photographic Images
- CVPR 2023Learning a Sparse Transformer Network for Effective Image Deraining
- CVPR 2023Learning Analytical Posterior Probability for Human Mesh Recovery
- CVPR 2023Learning Anchor Transformations for 3D Garment Animation
- CVPR 2023Learning and Aggregating Lane Graphs for Urban Automated Driving
- CVPR 2023Learning Attention As Disentangler for Compositional Zero-Shot Learning
- CVPR 2023Learning Conditional Attributes for Compositional Zero-Shot Learning
- CVPR 2023Learning Dynamic Style Kernels for Artistic Style Transfer
- CVPR 2023Learning Federated Visual Prompt in Null Space for MRI Reconstruction
- CVPR 2023Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
- CVPR 2023Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
- CVPR 2023Learning Rotation-Equivariant Features for Visual Correspondence
- CVPR 2023Learning Sample Relationship for Exposure Correction
- CVPR 2023Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
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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.