Simulation for Driving papers, 2023–2026

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.

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 29 of 34

1401. CVPR 2023DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
1402. CVPR 2023DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
1403. CVPR 2023Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
1404. CVPR 2023Discriminator-Cooperated Feature Map Distillation for GAN Compression
1405. CVPR 2023Disentangled Representation Learning for Unsupervised Neural Quantization
1406. CVPR 2023Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness
1407. CVPR 2023Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
1408. CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
1409. CVPR 2023Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
1410. CVPR 2023DisWOT: Student Architecture Search for Distillation WithOut Training
1411. CVPR 2023DKM: Dense Kernelized Feature Matching for Geometry Estimation
1412. CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
1413. CVPR 2023DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation
1414. CVPR 2023DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration
1415. CVPR 2023DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
1416. CVPR 2023DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
1417. CVPR 2023DynaMask: Dynamic Mask Selection for Instance Segmentation
1418. CVPR 2023Dynamic Aggregated Network for Gait Recognition
1419. CVPR 2023Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection
1420. CVPR 2023Dynamic Focus-Aware Positional Queries for Semantic Segmentation
1421. CVPR 2023DynamicDet: A Unified Dynamic Architecture for Object Detection
1422. CVPR 2023EC2: Emergent Communication for Embodied Control
1423. CVPR 2023EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
1424. CVPR 2023Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
1425. CVPR 2023EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging
1426. CVPR 2023Endpoints Weight Fusion for Class Incremental Semantic Segmentation
1427. CVPR 2023Evolved Part Masking for Self-Supervised Learning
1428. CVPR 2023EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction
1429. CVPR 2023Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
1430. CVPR 2023Explicit Visual Prompting for Low-Level Structure Segmentations
1431. CVPR 2023Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
1432. CVPR 2023Exploring Data Geometry for Continual Learning
1433. CVPR 2023Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
1434. CVPR 2023FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
1435. CVPR 2023FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
1436. CVPR 2023FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction
1437. CVPR 2023FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures
1438. CVPR 2023FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
1439. CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
1440. CVPR 2023FlexiViT: One Model for All Patch Sizes
1441. CVPR 2023Flow Supervision for Deformable NeRF
1442. CVPR 2023FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
1443. CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
1444. CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
1445. CVPR 2023GamutMLP: A Lightweight MLP for Color Loss Recovery
1446. CVPR 2023Gaussian Label Distribution Learning for Spherical Image Object Detection
1447. CVPR 2023Generalizable Local Feature Pre-Training for Deformable Shape Analysis
1448. CVPR 2023Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera
1449. CVPR 2023Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
1450. CVPR 2023Genie: Show Me the Data for Quantization

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.