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 100 of 118
- CVPR 2023Balanced Energy Regularization Loss for Out-of-Distribution Detection
- CVPR 2023Balanced Product of Calibrated Experts for Long-Tailed Recognition
- CVPR 2023Balanced Spherical Grid for Egocentric View Synthesis
- CVPR 2023Balancing Logit Variation for Long-Tailed Semantic Segmentation
- CVPR 2023Behind the Scenes: Density Fields for Single View Reconstruction
- CVPR 2023Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
- CVPR 2023BEV-Guided Multi-Modality Fusion for Driving Perception
- CVPR 2023BEV@DC: Bird's-Eye View Assisted Training for Depth Completion
- CVPR 2023Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
- CVPR 2023Bias-Eliminating Augmentation Learning for Debiased Federated Learning
- CVPR 2023BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
- CVPR 2023Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
- CVPR 2023BioNet: A Biologically-Inspired Network for Face Recognition
- CVPR 2023Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization
- CVPR 2023BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
- CVPR 2023BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
- CVPR 2023Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
- CVPR 2023Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images
- CVPR 2023Boosting Verified Training for Robust Image Classifications via Abstraction
- CVPR 2023Bridging Search Region Interaction With Template for RGB-T Tracking
- CVPR 2023Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
- CVPR 2023Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
- CVPR 2023Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization
- CVPR 2023Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
- CVPR 2023CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
- CVPR 2023Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
- CVPR 2023Class-Incremental Exemplar Compression for Class-Incremental Learning
- CVPR 2023CLIP the Gap: A Single Domain Generalization Approach for Object Detection
- CVPR 2023Clothing-Change Feature Augmentation for Person Re-Identification
- CVPR 2023Co-Training 2L Submodels for Visual Recognition
- CVPR 2023CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
- CVPR 2023Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
- CVPR 2023Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
- CVPR 2023ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
- CVPR 2023Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
- CVPR 2023Continual Detection Transformer for Incremental Object Detection
- CVPR 2023Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation
- CVPR 2023Controllable Light Diffusion for Portraits
- CVPR 2023CP3: Channel Pruning Plug-In for Point-Based Networks
- CVPR 2023CRAFT: Concept Recursive Activation FacTorization for Explainability
- CVPR 2023Critical Learning Periods for Multisensory Integration in Deep Networks
- CVPR 2023Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
- CVPR 2023DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer
- CVPR 2023Data-Driven Feature Tracking for Event Cameras
- CVPR 2023Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
- CVPR 2023Decoupled Multimodal Distilling for Emotion Recognition
- CVPR 2023Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
- CVPR 2023Decoupling MaxLogit for Out-of-Distribution Detection
- CVPR 2023DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting
- CVPR 2023Deformable Mesh Transformer for 3D Human Mesh Recovery
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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.