Simulation for Driving papers, 2023–2026

Closed-loop simulation

Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 5,882 papers are tagged with this topic.

Key findings

Papers per year

Papers per venue

Counts by year and venue

Simulation for Driving papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

Representative papers

Spread across years and venues so every edition shows up

All Simulation for Driving papers

YearAll2023202420252026
VenueAllNeurIPSICLRICMLCVPR

358 papers, page 5 of 8

  1. ICML 2024Model-based Reinforcement Learning for Confounded POMDPs
  2. ICML 2024Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL
  3. ICML 2024MoMo: Momentum Models for Adaptive Learning Rates
  4. ICML 2024More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
  5. ICML 2024Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy
  6. ICML 2024MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
  7. ICML 2024MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
  8. ICML 2024Multicalibration for Confidence Scoring in LLMs
  9. ICML 2024Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
  10. ICML 2024MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
  11. ICML 2024Near-Linear Time Approximation Algorithms for k-means with Outliers
  12. ICML 2024Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
  13. ICML 2024Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
  14. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
  15. ICML 2024Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
  16. ICML 2024New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
  17. ICML 2024No Dimensional Sampling Coresets for Classification
  18. ICML 2024No Double Descent in Principal Component Regression: A High-Dimensional Analysis
  19. ICML 2024Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
  20. ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
  21. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
  22. ICML 2024Novel Spectral Algorithms for the Partial Credit Model
  23. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
  24. ICML 2024On Convergence of Incremental Gradient for Non-convex Smooth Functions
  25. ICML 2024On dimensionality of feature vectors in MPNNs
  26. ICML 2024On Prompt-Driven Safeguarding for Large Language Models
  27. ICML 2024On the Diminishing Returns of Width for Continual Learning
  28. ICML 2024On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
  29. ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
  30. ICML 2024On Universally Optimal Algorithms for A/B Testing
  31. ICML 2024One Meta-tuned Transformer is What You Need for Few-shot Learning
  32. ICML 2024One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
  33. ICML 2024Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
  34. ICML 2024Optimal Coresets for Low-Dimensional Geometric Median
  35. ICML 2024Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
  36. ICML 2024Optimal Ridge Regularization for Out-of-Distribution Prediction
  37. ICML 2024Optimal Transport for Structure Learning Under Missing Data
  38. ICML 2024Optimizing Watermarks for Large Language Models
  39. ICML 2024Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
  40. ICML 2024Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
  41. ICML 2024Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
  42. ICML 2024Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
  43. ICML 2024Parallelized Spatiotemporal Slot Binding for Videos
  44. ICML 2024Parameterized Physics-informed Neural Networks for Parameterized PDEs
  45. ICML 2024Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems
  46. ICML 2024Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
  47. ICML 2024PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
  48. ICML 2024Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
  49. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
  50. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

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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.

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