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 108 of 118

5351. ICLR 2023Learning Iterative Neural Optimizers for Image Steganography
5352. ICLR 2023Learning Label Encodings for Deep Regression
5353. ICLR 2023Learning to Grow Pretrained Models for Efficient Transformer Training
5354. ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
5355. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
5356. ICLR 2023Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
5357. ICLR 2023Leveraging Large Language Models for Multiple Choice Question Answering
5358. ICLR 2023Limitless Stability for Graph Convolutional Networks
5359. ICLR 2023Localized Randomized Smoothing for Collective Robustness Certification
5360. ICLR 2023LPT: Long-tailed Prompt Tuning for Image Classification
5361. ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
5362. ICLR 2023MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
5363. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
5364. ICLR 2023Meta Knowledge Condensation for Federated Learning
5365. ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
5366. ICLR 2023Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
5367. ICLR 2023Near-optimal Coresets for Robust Clustering
5368. ICLR 2023NeRN: Learning Neural Representations for Neural Networks
5369. ICLR 2023Neural Bregman Divergences for Distance Learning
5370. ICLR 2023Neural Design for Genetic Perturbation Experiments
5371. ICLR 2023Neural-based classification rule learning for sequential data
5372. ICLR 2023Noise Injection Node Regularization for Robust Learning
5373. ICLR 2023Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
5374. ICLR 2023ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
5375. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
5376. ICLR 2023On amortizing convex conjugates for optimal transport
5377. ICLR 2023On Pre-training Language Model for Antibody
5378. ICLR 2023On The Relative Error of Random Fourier Features for Preserving Kernel Distance
5379. ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
5380. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
5381. ICLR 2023Optimal Transport for Offline Imitation Learning
5382. ICLR 2023Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
5383. ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
5384. ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
5385. ICLR 2023Packed Ensembles for efficient uncertainty estimation
5386. ICLR 2023PatchDCT: Patch Refinement for High Quality Instance Segmentation
5387. ICLR 2023Phase transition for detecting a small community in a large network
5388. ICLR 2023Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
5389. ICLR 2023PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
5390. ICLR 2023Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
5391. ICLR 2023Policy-Based Self-Competition for Planning Problems
5392. ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
5393. ICLR 2023Preference Transformer: Modeling Human Preferences using Transformers for RL
5394. ICLR 2023Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
5395. ICLR 2023Progress measures for grokking via mechanistic interpretability
5396. ICLR 2023Progressive Prompts: Continual Learning for Language Models
5397. ICLR 2023Prototypical Calibration for Few-shot Learning of Language Models
5398. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
5399. ICLR 2023Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
5400. ICLR 2023Random Laplacian Features for Learning with Hyperbolic Space

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.