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 3 of 9

101. NeurIPS 2024Deep Learning for Computing Convergence Rates of Markov Chains
102. NeurIPS 2024DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
103. NeurIPS 2024DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
104. NeurIPS 2024DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism
105. NeurIPS 2024Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
106. NeurIPS 2024Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
107. NeurIPS 2024DevBench: A multimodal developmental benchmark for language learning
108. NeurIPS 2024DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
109. NeurIPS 2024Diffusion Twigs with Loop Guidance for Conditional Graph Generation
110. NeurIPS 2024Dimension-free Private Mean Estimation for Anisotropic Distributions
111. NeurIPS 2024DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
112. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
113. NeurIPS 2024Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
114. NeurIPS 2024Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
115. NeurIPS 2024Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization
116. NeurIPS 2024DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
117. NeurIPS 2024DistrictNet: Decision-aware learning for geographical districting
118. NeurIPS 2024DiTFastAttn: Attention Compression for Diffusion Transformer Models
119. NeurIPS 2024DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
120. NeurIPS 2024Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
121. NeurIPS 2024DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
122. NeurIPS 2024DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
123. NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
124. NeurIPS 2024Dynamic 3D Gaussian Fields for Urban Areas
125. NeurIPS 2024Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
126. NeurIPS 2024Dynamic Rescaling for Training GNNs
127. NeurIPS 2024DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
128. NeurIPS 2024EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer
129. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
130. NeurIPS 2024ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
131. NeurIPS 2024Efficiency for Free: Ideal Data Are Transportable Representations
132. NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
133. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
134. NeurIPS 2024Efficient Leverage Score Sampling for Tensor Train Decomposition
135. NeurIPS 2024Efficient Streaming Algorithms for Graphlet Sampling
136. NeurIPS 2024Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
137. NeurIPS 2024EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
138. NeurIPS 2024einspace: Searching for Neural Architectures from Fundamental Operations
139. NeurIPS 2024EM Distillation for One-step Diffusion Models
140. NeurIPS 2024Energy-based Epistemic Uncertainty for Graph Neural Networks
141. NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
142. NeurIPS 2024Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
143. NeurIPS 2024Ensemble sampling for linear bandits: small ensembles suffice
144. NeurIPS 2024Equivariant spatio-hemispherical networks for diffusion MRI deconvolution
145. NeurIPS 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
146. NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
147. NeurIPS 2024ESPACE: Dimensionality Reduction of Activations for Model Compression
148. NeurIPS 2024Evaluating Copyright Takedown Methods for Language Models
149. NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
150. NeurIPS 2024Exclusively Penalized Q-learning for Offline Reinforcement Learning

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.