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 32 of 34

1551. CVPR 2023OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels
1552. CVPR 2023Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning
1553. CVPR 2023PATS: Patch Area Transportation With Subdivision for Local Feature Matching
1554. CVPR 2023pCON: Polarimetric Coordinate Networks for Neural Scene Representations
1555. CVPR 2023PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
1556. CVPR 2023PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
1557. CVPR 2023PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification
1558. CVPR 2023Phone2Proc: Bringing Robust Robots Into Our Chaotic World
1559. CVPR 2023Photo Pre-Training, but for Sketch
1560. CVPR 2023Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
1561. CVPR 2023Planning-Oriented Autonomous Driving
1562. CVPR 2023PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
1563. CVPR 2023PMR: Prototypical Modal Rebalance for Multimodal Learning
1564. CVPR 2023Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
1565. CVPR 2023Polynomial Implicit Neural Representations for Large Diverse Datasets
1566. CVPR 2023Power Bundle Adjustment for Large-Scale 3D Reconstruction
1567. CVPR 2023Probability-Based Global Cross-Modal Upsampling for Pansharpening
1568. CVPR 2023Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
1569. CVPR 2023Progressive Neighbor Consistency Mining for Correspondence Pruning
1570. CVPR 2023Progressive Open Space Expansion for Open-Set Model Attribution
1571. CVPR 2023Progressive Transformation Learning for Leveraging Virtual Images in Training
1572. CVPR 2023Progressively Optimized Local Radiance Fields for Robust View Synthesis
1573. CVPR 2023PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
1574. CVPR 2023Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering
1575. CVPR 2023Proximal Splitting Adversarial Attack for Semantic Segmentation
1576. CVPR 2023Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
1577. CVPR 2023Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification
1578. CVPR 2023RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
1579. CVPR 2023Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
1580. CVPR 2023RealImpact: A Dataset of Impact Sound Fields for Real Objects
1581. CVPR 2023Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
1582. CVPR 2023Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
1583. CVPR 2023Regularizing Second-Order Influences for Continual Learning
1584. CVPR 2023Renderable Neural Radiance Map for Visual Navigation
1585. CVPR 2023Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
1586. CVPR 2023Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
1587. CVPR 2023Revisiting Residual Networks for Adversarial Robustness
1588. CVPR 2023Revisiting Reverse Distillation for Anomaly Detection
1589. CVPR 2023Rigidity-Aware Detection for 6D Object Pose Estimation
1590. CVPR 2023RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
1591. CVPR 2023Robust Outlier Rejection for 3D Registration With Variational Bayes
1592. CVPR 2023Rotation-Invariant Transformer for Point Cloud Matching
1593. CVPR 2023Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
1594. CVPR 2023ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images
1595. CVPR 2023Semantic-Conditional Diffusion Networks for Image Captioning
1596. CVPR 2023Semidefinite Relaxations for Robust Multiview Triangulation
1597. CVPR 2023SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization
1598. CVPR 2023ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
1599. CVPR 2023Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
1600. CVPR 2023Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification

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.