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

1,214 papers, page 14 of 25

651. ICML 2024A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
652. ICML 2024A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
653. ICML 2024A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
654. ICML 2024A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
655. ICML 2024Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
656. ICML 2024Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
657. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
658. ICML 2024Active Preference Learning for Large Language Models
659. ICML 2024Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
660. ICML 2024Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
661. ICML 2024Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
662. ICML 2024Adaptive Text Watermark for Large Language Models
663. ICML 2024Adaptively Perturbed Mirror Descent for Learning in Games
664. ICML 2024Agnostic Sample Compression Schemes for Regression
665. ICML 2024All-in-one simulation-based inference
666. ICML 2024AlphaFold Meets Flow Matching for Generating Protein Ensembles
667. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
668. ICML 2024An Effective Dynamic Gradient Calibration Method for Continual Learning
669. ICML 2024An Explicit Frame Construction for Normalizing 3D Point Clouds
670. ICML 2024An Iterative Min-Min Optimization Method for Sparse Bayesian Learning
671. ICML 2024An LLM Compiler for Parallel Function Calling
672. ICML 2024Analyzing $D^\alpha$ seeding for $k$-means
673. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
674. ICML 2024AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
675. ICML 2024Arrows of Time for Large Language Models
676. ICML 2024AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
677. ICML 2024AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
678. ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
679. ICML 2024Auto-Encoding Morph-Tokens for Multimodal LLM
680. ICML 2024Autoencoding Conditional Neural Processes for Representation Learning
681. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
682. ICML 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
683. ICML 2024BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
684. ICML 2024BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
685. ICML 2024Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data
686. ICML 2024Best Arm Identification for Stochastic Rising Bandits
687. ICML 2024Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
688. ICML 2024BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
689. ICML 2024Bifurcated Attention for Single-Context Large-Batch Sampling
690. ICML 2024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
691. ICML 2024BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
692. ICML 2024Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
693. ICML 2024Borda Regret Minimization for Generalized Linear Dueling Bandits
694. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
695. ICML 2024BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
696. ICML 2024CaM: Cache Merging for Memory-efficient LLMs Inference
697. ICML 2024Can a Few Decide for Many? The Metric Distortion of Sortition
698. ICML 2024Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
699. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
700. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations

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.