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

899 papers, page 15 of 18

701. ICLR 2024Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
702. ICLR 2024Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
703. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
704. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
705. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
706. ICLR 2024Towards Establishing Guaranteed Error for Learned Database Operations
707. ICLR 2024Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
708. ICLR 2024Trajeglish: Traffic Modeling as Next-Token Prediction
709. ICLR 2024Two-timescale Extragradient for Finding Local Minimax Points
710. ICLR 2024UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
711. ICLR 2024Unbiased Watermark for Large Language Models
712. ICLR 2024Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
713. ICLR 2024Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
714. ICLR 2024Variational Inference for SDEs Driven by Fractional Noise
715. ICLR 2024What does automatic differentiation compute for neural networks?
716. ICLR 2024What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
717. ICLR 2024What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
718. ICLR 2023(Certified!!) Adversarial Robustness for Free!
719. ICLR 2023$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
720. ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
721. ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
722. ICLR 2023A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
723. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
724. ICLR 2023A Unified Framework for Soft Threshold Pruning
725. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
726. ICLR 2023Achieve the Minimum Width of Neural Networks for Universal Approximation
727. ICLR 2023Agree to Disagree: Diversity through Disagreement for Better Transferability
728. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
729. ICLR 2023An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
730. ICLR 2023Analogy-Forming Transformers for Few-Shot 3D Parsing
731. ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
732. ICLR 2023Any-scale Balanced Samplers for Discrete Space
733. ICLR 2023Ask Me Anything: A simple strategy for prompting language models
734. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
735. ICLR 2023BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
736. ICLR 2023Building a Subspace of Policies for Scalable Continual Learning
737. ICLR 2023ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
738. ICLR 2023CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
739. ICLR 2023Clifford Neural Layers for PDE Modeling
740. ICLR 2023CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
741. ICLR 2023CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
742. ICLR 2023Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
743. ICLR 2023Compositional Task Representations for Large Language Models
744. ICLR 2023Confidence-Based Feature Imputation for Graphs with Partially Known Features
745. ICLR 2023Confidence-Conditioned Value Functions for Offline Reinforcement Learning
746. ICLR 2023Contrastive Corpus Attribution for Explaining Representations
747. ICLR 2023Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
748. ICLR 2023Contrastive Meta-Learning for Partially Observable Few-Shot Learning
749. ICLR 2023Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
750. ICLR 2023Coverage-centric Coreset Selection for High Pruning Rates

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.