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 41 of 43

2001. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
2002. NeurIPS 2023Learning Curves for Deep Structured Gaussian Feature Models
2003. NeurIPS 2023Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
2004. NeurIPS 2023Learning Motion Refinement for Unsupervised Face Animation
2005. NeurIPS 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
2006. NeurIPS 2023Learning Robust Statistics for Simulation-based Inference under Model Misspecification
2007. NeurIPS 2023Learning to Group Auxiliary Datasets for Molecule
2008. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
2009. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
2010. NeurIPS 2023Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
2011. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
2012. NeurIPS 2023Many-body Approximation for Non-negative Tensors
2013. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
2014. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
2015. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
2016. NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
2017. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
2018. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
2019. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
2020. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
2021. NeurIPS 2023Moral Responsibility for AI Systems
2022. NeurIPS 2023Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
2023. NeurIPS 2023Nearly Optimal Bounds for Cyclic Forgetting
2024. NeurIPS 2023Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
2025. NeurIPS 2023Neural Lighting Simulation for Urban Scenes
2026. NeurIPS 2023New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
2027. NeurIPS 2023No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
2028. NeurIPS 2023Nonparametric Teaching for Multiple Learners
2029. NeurIPS 2023Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
2030. NeurIPS 2023Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
2031. NeurIPS 2023On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
2032. NeurIPS 2023On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
2033. NeurIPS 2023One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
2034. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
2035. NeurIPS 2023Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
2036. NeurIPS 2023OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
2037. NeurIPS 2023Operation-Level Early Stopping for Robustifying Differentiable NAS
2038. NeurIPS 2023Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
2039. NeurIPS 2023Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
2040. NeurIPS 2023Optimized Covariance Design for AB Test on Social Network under Interference
2041. NeurIPS 2023Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
2042. NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
2043. NeurIPS 2023Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
2044. NeurIPS 2023Personalized Dictionary Learning for Heterogeneous Datasets
2045. NeurIPS 2023PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
2046. NeurIPS 2023PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
2047. NeurIPS 2023Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
2048. NeurIPS 2023Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
2049. NeurIPS 2023Principled Weight Initialisation for Input-Convex Neural Networks
2050. NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

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.