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 25 of 34
- CVPR 2024PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization
- CVPR 2024Pose Adapted Shape Learning for Large-Pose Face Reenactment
- CVPR 2024Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction
- CVPR 2024PostureHMR: Posture Transformation for 3D Human Mesh Recovery
- CVPR 2024PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation
- CVPR 2024PTQ4SAM: Post-Training Quantization for Segment Anything
- CVPR 2024QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction
- CVPR 2024RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
- CVPR 2024RCL: Reliable Continual Learning for Unified Failure Detection
- CVPR 2024RecDiffusion: Rectangling for Image Stitching with Diffusion Models
- CVPR 2024Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
- CVPR 2024Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
- CVPR 2024Relaxed Contrastive Learning for Federated Learning
- CVPR 2024Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
- CVPR 2024Resource-Efficient Transformer Pruning for Finetuning of Large Models
- CVPR 2024Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
- CVPR 2024Rethinking Boundary Discontinuity Problem for Oriented Object Detection
- CVPR 2024Rethinking Inductive Biases for Surface Normal Estimation
- CVPR 2024Revisiting Sampson Approximations for Geometric Estimation Problems
- CVPR 2024Riemannian Multinomial Logistics Regression for SPD Neural Networks
- CVPR 2024S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
- CVPR 2024SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
- CVPR 2024SANeRF-HQ: Segment Anything for NeRF in High Quality
- CVPR 2024SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
- CVPR 2024Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
- CVPR 2024Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
- CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
- CVPR 2024Scene Adaptive Sparse Transformer for Event-based Object Detection
- CVPR 2024SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
- CVPR 2024SEAS: ShapE-Aligned Supervision for Person Re-Identification
- CVPR 2024SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation
- CVPR 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model
- CVPR 2024Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
- CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
- CVPR 2024Semantic-aware SAM for Point-Prompted Instance Segmentation
- CVPR 2024SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
- CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
- CVPR 2024SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
- CVPR 2024Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
- CVPR 2024Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
- CVPR 2024Spatial-Aware Regression for Keypoint Localization
- CVPR 2024SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
- CVPR 2024SpecNeRF: Gaussian Directional Encoding for Specular Reflections
- CVPR 2024Specularity Factorization for Low-Light Enhancement
- CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
- CVPR 2024SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM
- CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
- CVPR 2024StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
- CVPR 2024State Space Models for Event Cameras
- CVPR 2024Steerers: A Framework for Rotation Equivariant Keypoint Descriptors
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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.