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 116 of 118

5751. NeurIPS 2023GPEX, A Framework For Interpreting Artificial Neural Networks
5752. NeurIPS 2023Greedy Poisson Rejection Sampling
5753. NeurIPS 2023Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
5754. NeurIPS 2023H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
5755. NeurIPS 2023HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
5756. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
5757. NeurIPS 2023HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception
5758. NeurIPS 2023Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
5759. NeurIPS 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimation
5760. NeurIPS 2023Implicit Convolutional Kernels for Steerable CNNs
5761. NeurIPS 2023Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
5762. NeurIPS 2023InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
5763. NeurIPS 2023Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
5764. NeurIPS 2023Is Learning in Games Good for the Learners?
5765. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
5766. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
5767. NeurIPS 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
5768. NeurIPS 2023L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
5769. NeurIPS 2023LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
5770. NeurIPS 2023Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
5771. NeurIPS 2023Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
5772. NeurIPS 2023Learning Curves for Deep Structured Gaussian Feature Models
5773. NeurIPS 2023Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
5774. NeurIPS 2023Learning Motion Refinement for Unsupervised Face Animation
5775. NeurIPS 2023Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
5776. NeurIPS 2023Learning Robust Statistics for Simulation-based Inference under Model Misspecification
5777. NeurIPS 2023Learning to Group Auxiliary Datasets for Molecule
5778. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
5779. NeurIPS 2023Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
5780. NeurIPS 2023Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
5781. NeurIPS 2023Lower Bounds on Adaptive Sensing for Matrix Recovery
5782. NeurIPS 2023Many-body Approximation for Non-negative Tensors
5783. NeurIPS 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
5784. NeurIPS 2023Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness
5785. NeurIPS 2023Mechanism Design for Collaborative Normal Mean Estimation
5786. NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
5787. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
5788. NeurIPS 2023Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
5789. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
5790. NeurIPS 2023MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
5791. NeurIPS 2023Moral Responsibility for AI Systems
5792. NeurIPS 2023Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
5793. NeurIPS 2023Nearly Optimal Bounds for Cyclic Forgetting
5794. NeurIPS 2023Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
5795. NeurIPS 2023Neural Lighting Simulation for Urban Scenes
5796. NeurIPS 2023New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
5797. NeurIPS 2023No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
5798. NeurIPS 2023Nonparametric Teaching for Multiple Learners
5799. NeurIPS 2023Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
5800. NeurIPS 2023Offline RL with Discrete Proxy Representations for Generalizability in POMDPs

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.