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

358 papers, page 3 of 8

101. ICML 2024ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models
102. ICML 2024Eluder-based Regret for Stochastic Contextual MDPs
103. ICML 2024EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
104. ICML 2024Ensemble Pruning for Out-of-distribution Generalization
105. ICML 2024Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
106. ICML 2024Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
107. ICML 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
108. ICML 2024EvIL: Evolution Strategies for Generalisable Imitation Learning
109. ICML 2024Evolution-Inspired Loss Functions for Protein Representation Learning
110. ICML 2024Evolving Subnetwork Training for Large Language Models
111. ICML 2024EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
112. ICML 2024Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
113. ICML 2024Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold
114. ICML 2024Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems
115. ICML 2024Fast Sampling-Based Sketches for Tensors
116. ICML 2024Feature Importance Disparities for Data Bias Investigations
117. ICML 2024Feel-Good Thompson Sampling for Contextual Dueling Bandits
118. ICML 2024Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression
119. ICML 2024Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
120. ICML 2024Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
121. ICML 2024First-Order Manifold Data Augmentation for Regression Learning
122. ICML 2024Flexible Residual Binarization for Image Super-Resolution
123. ICML 2024FRAG: Frequency Adapting Group for Diffusion Video Editing
124. ICML 2024FrameQuant: Flexible Low-Bit Quantization for Transformers
125. ICML 2024From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions
126. ICML 2024From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems
127. ICML 2024Gambling-Based Confidence Sequences for Bounded Random Vectors
128. ICML 2024Gaussian Plane-Wave Neural Operator for Electron Density Estimation
129. ICML 2024Generalized Neural Collapse for a Large Number of Classes
130. ICML 2024Generalized Sobolev Transport for Probability Measures on a Graph
131. ICML 2024Generalizing Orthogonalization for Models with Non-Linearities
132. ICML 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
133. ICML 2024GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
134. ICML 2024Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
135. ICML 2024GRATH: Gradual Self-Truthifying for Large Language Models
136. ICML 2024Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
137. ICML 2024Guidance with Spherical Gaussian Constraint for Conditional Diffusion
138. ICML 2024HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
139. ICML 2024Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
140. ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
141. ICML 2024High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
142. ICML 2024Homomorphism Counts for Graph Neural Networks: All About That Basis
143. ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
144. ICML 2024Hybrid Neural Representations for Spherical Data
145. ICML 2024Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
146. ICML 2024Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
147. ICML 2024Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
148. ICML 2024Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
149. ICML 2024Improving Gradient-Guided Nested Sampling for Posterior Inference
150. ICML 2024In-context Learning on Function Classes Unveiled for Transformers

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.