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 114 of 118

5651. ICML 2023TIPS: Topologically Important Path Sampling for Anytime Neural Networks
5652. ICML 2023Towards Constituting Mathematical Structures for Learning to Optimize
5653. ICML 2023Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
5654. ICML 2023Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
5655. ICML 2023Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving
5656. ICML 2023Transformed Distribution Matching for Missing Value Imputation
5657. ICML 2023Traversing Between Modes in Function Space for Fast Ensembling
5658. ICML 2023Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
5659. ICML 2023Weighted Sampling without Replacement for Deep Top-$k$ Classification
5660. ICML 2023What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
5661. ICML 2023Which Tricks are Important for Learning to Rank?
5662. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination
5663. NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
5664. NeurIPS 2023$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
5665. NeurIPS 2023A Bounded Ability Estimation for Computerized Adaptive Testing
5666. NeurIPS 2023A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers
5667. NeurIPS 2023A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
5668. NeurIPS 2023A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
5669. NeurIPS 2023A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
5670. NeurIPS 2023A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem
5671. NeurIPS 2023A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
5672. NeurIPS 2023A Unified Approach for Maximizing Continuous DR-submodular Functions
5673. NeurIPS 2023A Unified Fast Gradient Clipping Framework for DP-SGD
5674. NeurIPS 2023A unified framework for information-theoretic generalization bounds
5675. NeurIPS 2023A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
5676. NeurIPS 2023A Unified, Scalable Framework for Neural Population Decoding
5677. NeurIPS 2023Accessing Higher Dimensions for Unsupervised Word Translation
5678. NeurIPS 2023Activity Grammars for Temporal Action Segmentation
5679. NeurIPS 2023Adaptive Algorithms for Relaxed Pareto Set Identification
5680. NeurIPS 2023Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
5681. NeurIPS 2023Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
5682. NeurIPS 2023AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
5683. NeurIPS 2023Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
5684. NeurIPS 2023Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
5685. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
5686. NeurIPS 2023Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
5687. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
5688. NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
5689. NeurIPS 2023Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
5690. NeurIPS 2023Back-Modality: Leveraging Modal Transformation for Data Augmentation
5691. NeurIPS 2023Balanced Training for Sparse GANs
5692. NeurIPS 2023Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
5693. NeurIPS 2023Bayesian target optimisation for high-precision holographic optogenetics
5694. NeurIPS 2023BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
5695. NeurIPS 2023Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback
5696. NeurIPS 2023Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
5697. NeurIPS 2023Bicriteria Approximation Algorithms for the Submodular Cover Problem
5698. NeurIPS 2023Break It Down: Evidence for Structural Compositionality in Neural Networks
5699. NeurIPS 2023Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
5700. NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection

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.