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

969 papers, page 18 of 20

851. NeurIPS 2023Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
852. NeurIPS 2023Is Learning in Games Good for the Learners?
853. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
854. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
855. NeurIPS 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
856. NeurIPS 2023L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
857. NeurIPS 2023LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
858. NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
859. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
860. NeurIPS 2023Learning Curves for Deep Structured Gaussian Feature Models
861. NeurIPS 2023Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
862. NeurIPS 2023Learning Motion Refinement for Unsupervised Face Animation
863. NeurIPS 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
864. NeurIPS 2023Learning Robust Statistics for Simulation-based Inference under Model Misspecification
865. NeurIPS 2023Learning to Group Auxiliary Datasets for Molecule
866. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
867. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
868. NeurIPS 2023Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
869. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
870. NeurIPS 2023Many-body Approximation for Non-negative Tensors
871. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
872. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
873. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
874. NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
875. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
876. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
877. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
878. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
879. NeurIPS 2023Moral Responsibility for AI Systems
880. NeurIPS 2023Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
881. NeurIPS 2023Nearly Optimal Bounds for Cyclic Forgetting
882. NeurIPS 2023Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
883. NeurIPS 2023Neural Lighting Simulation for Urban Scenes
884. NeurIPS 2023New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
885. NeurIPS 2023No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
886. NeurIPS 2023Nonparametric Teaching for Multiple Learners
887. NeurIPS 2023Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
888. NeurIPS 2023Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
889. NeurIPS 2023On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
890. NeurIPS 2023On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
891. NeurIPS 2023One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
892. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
893. NeurIPS 2023Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
894. NeurIPS 2023OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
895. NeurIPS 2023Operation-Level Early Stopping for Robustifying Differentiable NAS
896. NeurIPS 2023Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
897. NeurIPS 2023Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
898. NeurIPS 2023Optimized Covariance Design for AB Test on Social Network under Interference
899. NeurIPS 2023Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
900. NeurIPS 2023Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization

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.