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

1,308 papers, page 20 of 27

951. NeurIPS 2024Are Multiple Instance Learning Algorithms Learnable for Instances?
952. NeurIPS 2024Assemblage: Automatic Binary Dataset Construction for Machine Learning
953. NeurIPS 2024Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication
954. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
955. NeurIPS 2024Banded Square Root Matrix Factorization for Differentially Private Model Training
956. NeurIPS 2024BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
957. NeurIPS 2024Belief-State Query Policies for User-Aligned POMDPs
958. NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
959. NeurIPS 2024Benchmark Data Repositories for Better Benchmarking
960. NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
961. NeurIPS 2024Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
962. NeurIPS 2024BiDM: Pushing the Limit of Quantization for Diffusion Models
963. NeurIPS 2024BMRS: Bayesian Model Reduction for Structured Pruning
964. NeurIPS 2024Boundary Decomposition for Nadir Objective Vector Estimation
965. NeurIPS 2024Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
966. NeurIPS 2024Cascade Speculative Drafting for Even Faster LLM Inference
967. NeurIPS 2024Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
968. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
969. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
970. NeurIPS 2024CiteME: Can Language Models Accurately Cite Scientific Claims?
971. NeurIPS 2024Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
972. NeurIPS 2024Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
973. NeurIPS 2024CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
974. NeurIPS 2024Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
975. NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
976. NeurIPS 2024CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
977. NeurIPS 2024Collaboration! Towards Robust Neural Methods for Routing Problems
978. NeurIPS 2024Collaborative Refining for Learning from Inaccurate Labels
979. NeurIPS 2024CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
980. NeurIPS 2024ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
981. NeurIPS 2024Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
982. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
983. NeurIPS 2024Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
984. NeurIPS 2024Consensus Learning with Deep Sets for Essential Matrix Estimation
985. NeurIPS 2024Consistency Models for Scalable and Fast Simulation-Based Inference
986. NeurIPS 2024Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
987. NeurIPS 2024Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
988. NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
989. NeurIPS 2024Credal Deep Ensembles for Uncertainty Quantification
990. NeurIPS 2024Croissant: A Metadata Format for ML-Ready Datasets
991. NeurIPS 2024CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
992. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
993. NeurIPS 2024D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
994. NeurIPS 2024DAGER: Exact Gradient Inversion for Large Language Models
995. NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
996. NeurIPS 2024Data subsampling for Poisson regression with pth-root-link
997. NeurIPS 2024DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
998. NeurIPS 2024DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
999. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
1000. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection

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.