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 95 of 118

4701. NeurIPS 2024Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
4702. NeurIPS 2024Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
4703. NeurIPS 2024Kernel PCA for Out-of-Distribution Detection
4704. NeurIPS 2024Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
4705. NeurIPS 2024KFNN: K-Free Nearest Neighbor For Crowdsourcing
4706. NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
4707. NeurIPS 2024Label Alignment Regularization for Distribution Shift
4708. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
4709. NeurIPS 2024Layer-Adaptive State Pruning for Deep State Space Models
4710. NeurIPS 2024Learnability Matters: Active Learning for Video Captioning
4711. NeurIPS 2024Learning 3D Garment Animation from Trajectories of A Piece of Cloth
4712. NeurIPS 2024Learning Cooperative Trajectory Representations for Motion Forecasting
4713. NeurIPS 2024Learning Cut Generating Functions for Integer Programming
4714. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
4715. NeurIPS 2024Learning to Handle Complex Constraints for Vehicle Routing Problems
4716. NeurIPS 2024Learning Transferable Features for Implicit Neural Representations
4717. NeurIPS 2024Learning-Augmented Algorithms for the Bahncard Problem
4718. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
4719. NeurIPS 2024LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
4720. NeurIPS 2024LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication
4721. NeurIPS 2024LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
4722. NeurIPS 2024Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
4723. NeurIPS 2024Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
4724. NeurIPS 2024Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
4725. NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
4726. NeurIPS 2024Low Degree Hardness for Broadcasting on Trees
4727. NeurIPS 2024MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
4728. NeurIPS 2024MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
4729. NeurIPS 2024MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
4730. NeurIPS 2024MARPLE: A Benchmark for Long-Horizon Inference
4731. NeurIPS 2024MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
4732. NeurIPS 2024Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent
4733. NeurIPS 2024MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
4734. NeurIPS 2024MatFormer: Nested Transformer for Elastic Inference
4735. NeurIPS 2024MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
4736. NeurIPS 2024Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
4737. NeurIPS 2024Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
4738. NeurIPS 2024Mercury: A Code Efficiency Benchmark for Code Large Language Models
4739. NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
4740. NeurIPS 2024Metric Flow Matching for Smooth Interpolations on the Data Manifold
4741. NeurIPS 2024Metric Space Magnitude for Evaluating the Diversity of Latent Representations
4742. NeurIPS 2024Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training
4743. NeurIPS 2024MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
4744. NeurIPS 2024Mixture of Demonstrations for In-Context Learning
4745. NeurIPS 2024MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
4746. NeurIPS 2024MmCows: A Multimodal Dataset for Dairy Cattle Monitoring
4747. NeurIPS 2024Motion Forecasting in Continuous Driving
4748. NeurIPS 2024Multidimensional Fractional Programming for Normalized Cuts
4749. NeurIPS 2024MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
4750. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction

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.