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

2,111 papers, page 37 of 43

1801. NeurIPS 2024Reproducibility of predictive networks for mouse visual cortex
1802. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
1803. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
1804. NeurIPS 2024Rethinking Imbalance in Image Super-Resolution for Efficient Inference
1805. NeurIPS 2024Rethinking the Capacity of Graph Neural Networks for Branching Strategy
1806. NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
1807. NeurIPS 2024Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
1808. NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
1809. NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes
1810. NeurIPS 2024Robustly overfitting latents for flexible neural image compression
1811. NeurIPS 2024ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
1812. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
1813. NeurIPS 2024S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
1814. NeurIPS 2024Saliency-driven Experience Replay for Continual Learning
1815. NeurIPS 2024Sample Complexity of Posted Pricing for a Single Item
1816. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
1817. NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
1818. NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
1819. NeurIPS 2024Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
1820. NeurIPS 2024SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
1821. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
1822. NeurIPS 2024Search for Efficient Large Language Models
1823. NeurIPS 2024Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
1824. NeurIPS 2024Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
1825. NeurIPS 2024Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
1826. NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
1827. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
1828. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
1829. NeurIPS 2024Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
1830. NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
1831. NeurIPS 2024SlimGPT: Layer-wise Structured Pruning for Large Language Models
1832. NeurIPS 2024Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
1833. NeurIPS 2024Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
1834. NeurIPS 2024SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
1835. NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
1836. NeurIPS 2024Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
1837. NeurIPS 2024SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
1838. NeurIPS 2024Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
1839. NeurIPS 2024SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
1840. NeurIPS 2024Spectral Editing of Activations for Large Language Model Alignment
1841. NeurIPS 2024Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration
1842. NeurIPS 2024Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
1843. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
1844. NeurIPS 2024Statistical-Computational Trade-offs for Density Estimation
1845. NeurIPS 2024StepbaQ: Stepping backward as Correction for Quantized Diffusion Models
1846. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
1847. NeurIPS 2024Stochastic Optimal Control for Diffusion Bridges in Function Spaces
1848. NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
1849. NeurIPS 2024Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
1850. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs

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.