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
364 papers, page 1 of 8
- CVPR 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos
- CVPR 20246D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
- CVPR 2024A Category Agnostic Model for Visual Rearrangment
- CVPR 2024A Simple Baseline for Efficient Hand Mesh Reconstruction
- CVPR 2024Abductive Ego-View Accident Video Understanding for Safe Driving Perception
- CVPR 2024Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
- CVPR 2024ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
- CVPR 2024ActiveDC: Distribution Calibration for Active Finetuning
- CVPR 2024Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
- CVPR 2024Adapting to Length Shift: FlexiLength Network for Trajectory Prediction
- CVPR 2024Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
- CVPR 2024ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF
- CVPR 2024Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
- CVPR 2024AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
- CVPR 2024Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
- CVPR 2024All in One Framework for Multimodal Re-identification in the Wild
- CVPR 2024An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
- CVPR 2024Any-Shift Prompting for Generalization over Distributions
- CVPR 2024Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
- CVPR 2024Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
- CVPR 2024AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
- CVPR 2024BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
- CVPR 2024BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction
- CVPR 2024Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
- CVPR 2024Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
- CVPR 2024Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion
- CVPR 2024Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
- CVPR 2024Bilateral Propagation Network for Depth Completion
- CVPR 2024BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition
- CVPR 2024Boosting Neural Representations for Videos with a Conditional Decoder
- CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
- CVPR 2024Brush2Prompt: Contextual Prompt Generator for Object Inpainting
- CVPR 2024BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
- CVPR 2024Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
- CVPR 2024C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
- CVPR 2024CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
- CVPR 2024CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving
- CVPR 2024Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
- CVPR 2024CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
- CVPR 2024CFAT: Unleashing Triangular Windows for Image Super-resolution
- CVPR 2024CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
- CVPR 2024CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
- CVPR 2024ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
- CVPR 2024ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
- CVPR 2024Cloud-Device Collaborative Learning for Multimodal Large Language Models
- CVPR 2024CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
- CVPR 2024Clustering for Protein Representation Learning
- CVPR 2024CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images
- CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
- CVPR 2024CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
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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.