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 107 of 118

5301. ICLR 2023DepthFL : Depthwise Federated Learning for Heterogeneous Clients
5302. ICLR 2023DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
5303. ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
5304. ICLR 2023Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
5305. ICLR 2023DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
5306. ICLR 2023Dual Student Networks for Data-Free Model Stealing
5307. ICLR 2023DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
5308. ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
5309. ICLR 2023E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
5310. ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
5311. ICLR 2023Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
5312. ICLR 2023EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
5313. ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
5314. ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
5315. ICLR 2023Extremely Simple Activation Shaping for Out-of-Distribution Detection
5316. ICLR 2023Faster Gradient-Free Methods for Escaping Saddle Points
5317. ICLR 2023Finding Actual Descent Directions for Adversarial Training
5318. ICLR 2023FIT: A Metric for Model Sensitivity
5319. ICLR 2023FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
5320. ICLR 2023Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
5321. ICLR 2023Geometrically regularized autoencoders for non-Euclidean data
5322. ICLR 2023Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
5323. ICLR 2023Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
5324. ICLR 2023H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
5325. ICLR 2023Hidden Markov Transformer for Simultaneous Machine Translation
5326. ICLR 2023Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
5327. ICLR 2023How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
5328. ICLR 2023How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
5329. ICLR 2023How to prepare your task head for finetuning
5330. ICLR 2023Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
5331. ICLR 2023Identifiability Results for Multimodal Contrastive Learning
5332. ICLR 2023Implicit Regularization for Group Sparsity
5333. ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
5334. ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
5335. ICLR 2023Information Plane Analysis for Dropout Neural Networks
5336. ICLR 2023InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
5337. ICLR 2023Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
5338. ICLR 2023ISAAC Newton: Input-based Approximate Curvature for Newton's Method
5339. ICLR 2023Iterative Patch Selection for High-Resolution Image Recognition
5340. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
5341. ICLR 2023Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
5342. ICLR 2023Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
5343. ICLR 2023Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
5344. ICLR 2023Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
5345. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
5346. ICLR 2023Learning Controllable Adaptive Simulation for Multi-resolution Physics
5347. ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
5348. ICLR 2023Learning differentiable solvers for systems with hard constraints
5349. ICLR 2023Learning Human-Compatible Representations for Case-Based Decision Support
5350. ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision

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.