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

1,405 papers, page 19 of 29

901. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
902. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
903. NeurIPS 2025Advancing Expert Specialization for Better MoE
904. NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
905. NeurIPS 2025AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
906. NeurIPS 2025AlphaFold Database Debiasing for Robust Inverse Folding
907. NeurIPS 2025AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
908. NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
909. NeurIPS 2025An Effective Levelling Paradigm for Unlabeled Scenarios
910. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
911. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
912. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
913. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
914. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
915. NeurIPS 2025Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
916. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
917. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
918. NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
919. NeurIPS 2025AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
920. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
921. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
922. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
923. NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
924. NeurIPS 2025Behavior Injection: Preparing Language Models for Reinforcement Learning
925. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
926. NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
927. NeurIPS 2025Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
928. NeurIPS 2025Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
929. NeurIPS 2025Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
930. NeurIPS 2025Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
931. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
932. NeurIPS 2025BLEUBERI: BLEU is a surprisingly effective reward for instruction following
933. NeurIPS 2025Block Coordinate Descent for Neural Networks Provably Finds Global Minima
934. NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
935. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
936. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
937. NeurIPS 2025BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
938. NeurIPS 2025Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
939. NeurIPS 2025Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
940. NeurIPS 2025Breaking the Discretization Barrier of Continuous Physics Simulation Learning
941. NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
942. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
943. NeurIPS 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
944. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
945. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
946. NeurIPS 2025Chain-of-Model Learning for Language Model
947. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
948. NeurIPS 2025Checklists Are Better Than Reward Models For Aligning Language Models
949. NeurIPS 2025Class-wise Balancing Data Replay for Federated Class-Incremental Learning
950. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

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.