驾驶仿真论文趋势 2023–2026

主要结论

• 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
• NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部驾驶仿真论文

共 1,214 篇，第 10 / 25 页

451. ICML 2025Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
452. ICML 2025FlatQuant: Flatness Matters for LLM Quantization
453. ICML 2025Flexible Tails for Normalizing Flows
454. ICML 2025Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
455. ICML 2025Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
456. ICML 2025Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
457. ICML 2025From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
458. ICML 2025GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
459. ICML 2025Gap-Dependent Bounds for Federated $Q$-Learning
460. ICML 2025GaussMark: A Practical Approach for Structural Watermarking of Language Models
461. ICML 2025Generalization Analysis for Controllable Learning
462. ICML 2025Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
463. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
464. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
465. ICML 2025GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
466. ICML 2025GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
467. ICML 2025Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
468. ICML 2025Gradient-based Explanations for Deep Learning Survival Models
469. ICML 2025Gridded Transformer Neural Processes for Spatio-Temporal Data
470. ICML 2025Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
471. ICML 2025Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
472. ICML 2025HashAttention: Semantic Sparsity for Faster Inference
473. ICML 2025Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
474. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
475. ICML 2025High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
476. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
477. ICML 2025Hyperspherical Normalization for Scalable Deep Reinforcement Learning
478. ICML 2025Hypothesis Testing for Generalized Thurstone Models
479. ICML 2025Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
480. ICML 2025Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
481. ICML 2025Importance Sampling for Nonlinear Models
482. ICML 2025Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
483. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
484. ICML 2025Improved Online Confidence Bounds for Multinomial Logistic Bandits
485. ICML 2025Improving Memory Efficiency for Training KANs via Meta Learning
486. ICML 2025Independence Tests for Language Models
487. ICML 2025Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations
488. ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
489. ICML 2025INRFlow: Flow Matching for INRs in Ambient Space
490. ICML 2025Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms
491. ICML 2025Instruction-Following Pruning for Large Language Models
492. ICML 2025Integration-free Kernels for Equivariant Gaussian Process Modelling
493. ICML 2025Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
494. ICML 2025K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
495. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
496. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
497. ICML 2025Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
498. ICML 2025Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
499. ICML 2025Large Language Models are Demonstration Pre-Selectors for Themselves
500. ICML 2025Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？

共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。

NeurIPS 2026 有多少篇驾驶仿真论文？

NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。

ICLR 2026 有多少篇驾驶仿真论文？

ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。

ICML 2026 有多少篇驾驶仿真论文？

ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。

CVPR 2026 有多少篇驾驶仿真论文？

CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。

哪个会议的驾驶仿真论文最多？

NeurIPS，2023–2026 年共 2,111 篇。