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

410 papers, page 1 of 9

1. NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
2. NeurIPS 2024$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
3. NeurIPS 2024$\texttt{dattri}$: A Library for Efficient Data Attribution
4. NeurIPS 2024$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
5. NeurIPS 2024$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning
6. NeurIPS 20244-bit Shampoo for Memory-Efficient Network Training
7. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
8. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
9. NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
10. NeurIPS 2024A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem
11. NeurIPS 2024A Compositional Atlas for Algebraic Circuits
12. NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
13. NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
14. NeurIPS 2024A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics
15. NeurIPS 2024A generalized neural tangent kernel for surrogate gradient learning
16. NeurIPS 2024A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization
17. NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
18. NeurIPS 2024A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks
19. NeurIPS 2024A Metalearned Neural Circuit for Nonparametric Bayesian Inference
20. NeurIPS 2024A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
21. NeurIPS 2024A Modular Conditional Diffusion Framework for Image Reconstruction
22. NeurIPS 2024A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
23. NeurIPS 2024A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness
24. NeurIPS 2024A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
25. NeurIPS 2024A Siamese Transformer with Hierarchical Refinement for Lane Detection
26. NeurIPS 2024A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
27. NeurIPS 2024A Theoretical Perspective for Speculative Decoding Algorithm
28. NeurIPS 2024A two-scale Complexity Measure for Deep Learning Models
29. NeurIPS 2024A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch
30. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
31. NeurIPS 2024A Universal Growth Rate for Learning with Smooth Surrogate Losses
32. NeurIPS 2024Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
33. NeurIPS 2024Acoustic Volume Rendering for Neural Impulse Response Fields
34. NeurIPS 2024Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
35. NeurIPS 2024AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
36. NeurIPS 2024AdjointDEIS: Efficient Gradients for Diffusion Models
37. NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
38. NeurIPS 2024Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
39. NeurIPS 2024Alignment for Honesty
40. NeurIPS 2024AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
41. NeurIPS 2024Amortized Eigendecomposition for Neural Networks
42. NeurIPS 2024Amortized Fourier Neural Operators
43. NeurIPS 2024An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
44. NeurIPS 2024An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
45. NeurIPS 2024An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
46. NeurIPS 2024An Improved Empirical Fisher Approximation for Natural Gradient Descent
47. NeurIPS 2024Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
48. NeurIPS 2024Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training
49. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
50. NeurIPS 2024APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs

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.