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
1,657 papers, page 33 of 34
- CVPR 2023Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
- CVPR 2023SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
- CVPR 2023Similarity Metric Learning for RGB-Infrared Group Re-Identification
- CVPR 2023SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
- CVPR 2023SketchXAI: A First Look at Explainability for Human Sketches
- CVPR 2023SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation
- CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution
- CVPR 2023Soft Augmentation for Image Classification
- CVPR 2023SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction
- CVPR 2023Spatial-Frequency Mutual Learning for Face Super-Resolution
- CVPR 2023Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
- CVPR 2023Starting From Non-Parametric Networks for 3D Point Cloud Analysis
- CVPR 2023STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
- CVPR 2023Structured 3D Features for Reconstructing Controllable Avatars
- CVPR 2023Structured Kernel Estimation for Photon-Limited Deconvolution
- CVPR 2023StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
- CVPR 2023SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
- CVPR 2023Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
- CVPR 2023Target-Referenced Reactive Grasping for Dynamic Objects
- CVPR 2023TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
- CVPR 2023Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction
- CVPR 2023Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
- CVPR 2023Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
- CVPR 2023Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection
- CVPR 2023The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
- CVPR 2023Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
- CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
- CVPR 2023TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
- CVPR 2023Toward Accurate Post-Training Quantization for Image Super Resolution
- CVPR 2023Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
- CVPR 2023Towards Effective Visual Representations for Partial-Label Learning
- CVPR 2023Towards Scalable Neural Representation for Diverse Videos
- CVPR 2023Train-Once-for-All Personalization
- CVPR 2023Trainable Projected Gradient Method for Robust Fine-Tuning
- CVPR 2023Transformer Scale Gate for Semantic Segmentation
- CVPR 2023Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization
- CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
- CVPR 2023Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
- CVPR 2023UDE: A Unified Driving Engine for Human Motion Generation
- CVPR 2023Unbalanced Optimal Transport: A Unified Framework for Object Detection
- CVPR 2023Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
- CVPR 2023UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
- CVPR 2023UniSim: A Neural Closed-Loop Sensor Simulator
- CVPR 2023Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
- CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
- CVPR 2023VGFlow: Visibility Guided Flow Network for Human Reposing
- CVPR 2023ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
- CVPR 2023Virtual Sparse Convolution for Multimodal 3D Object Detection
- CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
- CVPR 2023Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
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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.