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 11 of 20

501. ICLR 2023Sequential Gradient Coding For Straggler Mitigation
502. ICLR 2023Sequential Learning of Neural Networks for Prequential MDL
503. ICLR 2023Serving Graph Compression for Graph Neural Networks
504. ICLR 2023Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
505. ICLR 2023SIMPLE: A Gradient Estimator for k-Subset Sampling
506. ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
507. ICLR 2023Sparse tree-based Initialization for Neural Networks
508. ICLR 2023Spiking Convolutional Neural Networks for Text Classification
509. ICLR 2023Squeeze Training for Adversarial Robustness
510. ICLR 2023Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
511. ICLR 2023StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
512. ICLR 2023Statistical Guarantees for Consensus Clustering
513. ICLR 2023Statistical Inference for Fisher Market Equilibrium
514. ICLR 2023Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
515. ICLR 2023Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
516. ICLR 2023TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
517. ICLR 2023TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
518. ICLR 2023Temperature Schedules for self-supervised contrastive methods on long-tail data
519. ICLR 2023Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
520. ICLR 2023Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
521. ICLR 2023The In-Sample Softmax for Offline Reinforcement Learning
522. ICLR 2023The KFIoU Loss for Rotated Object Detection
523. ICLR 2023The Lie Derivative for Measuring Learned Equivariance
524. ICLR 2023This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
525. ICLR 2023Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
526. ICLR 2023Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
527. ICLR 2023Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
528. ICLR 2023Valid P-Value for Deep Learning-driven Salient Region
529. ICLR 2023Versatile Neural Processes for Learning Implicit Neural Representations
530. ICLR 2023VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
531. ICLR 2023Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
532. ICLR 2023Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
533. ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
534. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
535. ICML 2023A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
536. ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
537. ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
538. ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
539. ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
540. ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
541. ICML 2023A Model-Based Method for Minimizing CVaR and Beyond
542. ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
543. ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
544. ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
545. ICML 2023A New PHO-rmula for Improved Performance of Semi-Structured Networks
546. ICML 2023A Reinforcement Learning Framework for Dynamic Mediation Analysis
547. ICML 2023A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
548. ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
549. ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
550. ICML 2023A Watermark for Large Language Models

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.