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

5,881 papers, page 97 of 118

4801. NeurIPS 2024Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
4802. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
4803. NeurIPS 2024Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
4804. NeurIPS 2024Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
4805. NeurIPS 2024PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
4806. NeurIPS 2024Prospective Learning: Learning for a Dynamic Future
4807. NeurIPS 2024Prospective Representation Learning for Non-Exemplar Class-Incremental Learning
4808. NeurIPS 2024Provable Benefits of Complex Parameterizations for Structured State Space Models
4809. NeurIPS 2024PTQ4DiT: Post-training Quantization for Diffusion Transformers
4810. NeurIPS 2024PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
4811. NeurIPS 2024Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
4812. NeurIPS 2024QBB: Quantization with Binary Bases for LLMs
4813. NeurIPS 2024QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
4814. NeurIPS 2024Quantum Deep Equilibrium Models
4815. NeurIPS 2024RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation
4816. NeurIPS 2024RedPajama: an Open Dataset for Training Large Language Models
4817. NeurIPS 2024ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration
4818. NeurIPS 2024Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
4819. NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
4820. NeurIPS 2024RelBench: A Benchmark for Deep Learning on Relational Databases
4821. NeurIPS 2024Reproducibility of predictive networks for mouse visual cortex
4822. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
4823. NeurIPS 2024Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
4824. NeurIPS 2024Rethinking Imbalance in Image Super-Resolution for Efficient Inference
4825. NeurIPS 2024Rethinking the Capacity of Graph Neural Networks for Branching Strategy
4826. NeurIPS 2024Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
4827. NeurIPS 2024Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
4828. NeurIPS 2024RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
4829. NeurIPS 2024RobIR: Robust Inverse Rendering for High-Illumination Scenes
4830. NeurIPS 2024Robustly overfitting latents for flexible neural image compression
4831. NeurIPS 2024ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
4832. NeurIPS 2024RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
4833. NeurIPS 2024S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
4834. NeurIPS 2024Saliency-driven Experience Replay for Continual Learning
4835. NeurIPS 2024Sample Complexity of Posted Pricing for a Single Item
4836. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
4837. NeurIPS 2024SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
4838. NeurIPS 2024Schrodinger Bridge Flow for Unpaired Data Translation
4839. NeurIPS 2024Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
4840. NeurIPS 2024SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
4841. NeurIPS 2024SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
4842. NeurIPS 2024Search for Efficient Large Language Models
4843. NeurIPS 2024Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
4844. NeurIPS 2024Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
4845. NeurIPS 2024Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
4846. NeurIPS 2024Simulation-Free Training of Neural ODEs on Paired Data
4847. NeurIPS 2024Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
4848. NeurIPS 2024SkipPredict: When to Invest in Predictions for Scheduling
4849. NeurIPS 2024Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
4850. NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

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.