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
2,199 papers, page 9 of 44
- CVPR 2026PRUE A Practical Recipe for Field Boundary Segmentation at Scale
- CVPR 2026PyramidalWan On Making Pretrained Video Model Pyramidal for Efficient Inference
- CVPR 2026QueryOcc Query-based Self-Supervision for 3D Semantic Occupancy
- CVPR 2026R4Det 4D Radar-Camera Fusion for High-Performance 3D Object Detection
- CVPR 2026RADAR VQ-VAE Decoder of VAR is a Good Student for
- CVPR 2026Radar-Guided Polynomial Fitting for Metric Depth Estimation
- CVPR 2026Radiance Meshes for Volumetric Reconstruction
- CVPR 2026RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution
- CVPR 2026REACH Explicit Recovery Behavior for Diffusion Policies
- CVPR 2026Real2Sim2Real RetinalDepth-64K for Depth Estimation in Posterior Segment Ophthalmic Surgery
- CVPR 2026RecEdit-Drive 3D Reconstruction-Guided Spatiotemporal Video Editing for Autonomous Driving Scenes
- CVPR 2026Recover to Predict Progressive Retrospective Learning for Variable-Length Trajectory Prediction
- CVPR 2026Region-Aware Instance Consistency Learning for Micro-Expression Recognition
- CVPR 2026Regulating Rather than Constraining Adaptive Guidance for Complex Spectral Reconstruction
- CVPR 2026Reinforce to Learn Elect to Reason A Dual Paradigm for
- CVPR 2026Rejection Mixing Fast Semantic Propagation of Mask Tokens for Efficient
- CVPR 2026Rel-Zero Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
- CVPR 2026Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement
- CVPR 2026ReManNet A Riemannian Manifold Network for Monocular 3D Lane Detection
- CVPR 2026RenderFlow Single-Step Neural Rendering via Flow Matching
- CVPR 2026ResAD Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
- CVPR 2026ResCa Residual Caching for Diffusion Transformers Acceleration
- CVPR 2026Restore Assess Repeat A Unified Framework for Iterative Image Restoration
- CVPR 2026Rethinking 2D-3D Registration A Novel Network for High-Value Zone Selection
- CVPR 2026Rethinking Cross-Modal Anchor Alignment for Mitigating Error Accumulation
- CVPR 2026RevINN An End-to-End Invertible Neural Network for Reversible Adversarial Examples
- CVPR 2026Revisiting Optimal Coding for I-ToF under Practical Sensor Constraints
- CVPR 2026REVIVE 3D Refinement via Encoded Voluminous Inflated prior for Volume
- CVPR 2026Reviving ConvNeXt for Efficient Convolutional Diffusion Models
- CVPR 2026RF4DNeural Radar Fields for Novel View Synthesis in Outdoor Dynamic
- CVPR 2026RHCNet Residual-Guided Hierarchical Calibration Network for Robust Underwater Object Detection
- CVPR 2026RiskProp Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation
- CVPR 2026RoadGIE Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road
- CVPR 2026RoadSceneBench A Lightweight Benchmark for Mid-Level Road Scene Understanding
- CVPR 2026Rosetta Stone For Unified MLLMs A Unified Tokenizer to Decipher
- CVPR 2026Routing on Demand DSNet for Efficient Progressive Point Cloud Denoising
- CVPR 2026RPGFusion 4D Radar Prior-Guided Multi-Modal Fusion for 3D Detection
- CVPR 2026RS-SSM Refining Forgotten Specifics in State Space Model for Video
- CVPR 2026S2D Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations
- CVPR 2026S2D Sparse to Dense Lifting for 3D Reconstruction with Minimal
- CVPR 2026SABER Spatially Consistent 3D Universal Adversarial Objects for BEV Detectors
- CVPR 2026SafeDrive Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse
- CVPR 2026SAGE Scalable Agentic 3D Scene Generation for Embodied AI
- CVPR 2026SAGE Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains
- CVPR 2026SALMUBench A Benchmark for Sensitive Association-Level Multimodal Unlearning
- CVPR 2026SAMosaic3D Modular Scene Assembly for Real-Time 3D Segment Anything
- CVPR 2026SANER Switchable Adapter with Non-parametric Enhanced Routing for Person De-Reidentification
- CVPR 2026SARMAE Masked Autoencoder for SAR Representation Learning
- CVPR 2026SASNet Spatially-Adaptive Sinusoidal Networks for INRs
- CVPR 2026Scal3R Scalable Test-Time Training for Large-Scale 3D Reconstruction
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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.