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

182 papers, page 1 of 4

1. ICLR 2023(Certified!!) Adversarial Robustness for Free!
2. ICLR 2023$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
3. ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
4. ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
5. ICLR 2023A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
6. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
7. ICLR 2023A Unified Framework for Soft Threshold Pruning
8. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
9. ICLR 2023Achieve the Minimum Width of Neural Networks for Universal Approximation
10. ICLR 2023Agree to Disagree: Diversity through Disagreement for Better Transferability
11. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
12. ICLR 2023An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
13. ICLR 2023Analogy-Forming Transformers for Few-Shot 3D Parsing
14. ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
15. ICLR 2023Any-scale Balanced Samplers for Discrete Space
16. ICLR 2023Ask Me Anything: A simple strategy for prompting language models
17. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
18. ICLR 2023BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
19. ICLR 2023Building a Subspace of Policies for Scalable Continual Learning
20. ICLR 2023ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
21. ICLR 2023CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
22. ICLR 2023Clifford Neural Layers for PDE Modeling
23. ICLR 2023CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
24. ICLR 2023CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
25. ICLR 2023Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
26. ICLR 2023Compositional Task Representations for Large Language Models
27. ICLR 2023Confidence-Based Feature Imputation for Graphs with Partially Known Features
28. ICLR 2023Confidence-Conditioned Value Functions for Offline Reinforcement Learning
29. ICLR 2023Contrastive Corpus Attribution for Explaining Representations
30. ICLR 2023Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
31. ICLR 2023Contrastive Meta-Learning for Partially Observable Few-Shot Learning
32. ICLR 2023Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
33. ICLR 2023Coverage-centric Coreset Selection for High Pruning Rates
34. ICLR 2023CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
35. ICLR 2023DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
36. ICLR 2023Decoupled Training for Long-Tailed Classification With Stochastic Representations
37. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
38. ICLR 2023Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
39. ICLR 2023DepthFL : Depthwise Federated Learning for Heterogeneous Clients
40. ICLR 2023DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
41. ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
42. ICLR 2023Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
43. ICLR 2023DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
44. ICLR 2023Dual Student Networks for Data-Free Model Stealing
45. ICLR 2023DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
46. ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
47. ICLR 2023E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
48. ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
49. ICLR 2023Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
50. ICLR 2023EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data

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.