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

969 papers, page 10 of 20

451. ICLR 2023Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
452. ICLR 2023Meta Knowledge Condensation for Federated Learning
453. ICLR 2023Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
454. ICLR 2023Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
455. ICLR 2023Near-optimal Coresets for Robust Clustering
456. ICLR 2023NeRN: Learning Neural Representations for Neural Networks
457. ICLR 2023Neural Bregman Divergences for Distance Learning
458. ICLR 2023Neural Design for Genetic Perturbation Experiments
459. ICLR 2023Neural-based classification rule learning for sequential data
460. ICLR 2023Noise Injection Node Regularization for Robust Learning
461. ICLR 2023Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
462. ICLR 2023ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection
463. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
464. ICLR 2023On amortizing convex conjugates for optimal transport
465. ICLR 2023On Pre-training Language Model for Antibody
466. ICLR 2023On The Relative Error of Random Fourier Features for Preserving Kernel Distance
467. ICLR 2023On the Soft-Subnetwork for Few-Shot Class Incremental Learning
468. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
469. ICLR 2023Optimal Transport for Offline Imitation Learning
470. ICLR 2023Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
471. ICLR 2023OPTQ: Accurate Quantization for Generative Pre-trained Transformers
472. ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
473. ICLR 2023Packed Ensembles for efficient uncertainty estimation
474. ICLR 2023PatchDCT: Patch Refinement for High Quality Instance Segmentation
475. ICLR 2023Phase transition for detecting a small community in a large network
476. ICLR 2023Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
477. ICLR 2023PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
478. ICLR 2023Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
479. ICLR 2023Policy-Based Self-Competition for Planning Problems
480. ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
481. ICLR 2023Preference Transformer: Modeling Human Preferences using Transformers for RL
482. ICLR 2023Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
483. ICLR 2023Progress measures for grokking via mechanistic interpretability
484. ICLR 2023Progressive Prompts: Continual Learning for Language Models
485. ICLR 2023Prototypical Calibration for Few-shot Learning of Language Models
486. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
487. ICLR 2023Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
488. ICLR 2023Random Laplacian Features for Learning with Hyperbolic Space
489. ICLR 2023Re-calibrating Feature Attributions for Model Interpretation
490. ICLR 2023REPAIR: REnormalizing Permuted Activations for Interpolation Repair
491. ICLR 2023Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
492. ICLR 2023Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
493. ICLR 2023Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
494. ICLR 2023Revisiting the Assumption of Latent Separability for Backdoor Defenses
495. ICLR 2023S-NeRF: Neural Radiance Fields for Street Views
496. ICLR 2023Schema Inference for Interpretable Image Classification
497. ICLR 2023SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
498. ICLR 2023Selective Frequency Network for Image Restoration
499. ICLR 2023SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations
500. ICLR 2023Sequential Attention for Feature Selection

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.