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 228 篇，第 1 / 5 页

1. ICLR 2025{$\tau$}-bench: A Benchmark for \underline{T}ool-\underline{A}gent-\underline{U}ser Interaction in Real-World Domains
2. ICLR 2025$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration
3. ICLR 20253DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing
4. ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
5. ICLR 2025A Solvable Attention for Neural Scaling Laws
6. ICLR 2025A Statistical Approach for Controlled Training Data Detection
7. ICLR 2025A Truncated Newton Method for Optimal Transport
8. ICLR 2025A Watermark for Order-Agnostic Language Models
9. ICLR 2025AdaWM: Adaptive World Model based Planning for Autonomous Driving
10. ICLR 2025Addressing Label Shift in Distributed Learning via Entropy Regularization
11. ICLR 2025ADMM for Structured Fractional Minimization
12. ICLR 2025Advantage-Guided Distillation for Preference Alignment in Small Language Models
13. ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
14. ICLR 2025AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
15. ICLR 2025Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
16. ICLR 2025Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
17. ICLR 2025An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
18. ICLR 2025Analytic DAG Constraints for Differentiable DAG Learning
19. ICLR 2025Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
20. ICLR 2025AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
21. ICLR 2025AtomSurf: Surface Representation for Learning on Protein Structures
22. ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
23. ICLR 2025Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
24. ICLR 2025Beware of Calibration Data for Pruning Large Language Models
25. ICLR 2025Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
26. ICLR 2025Beyond Worst-Case Dimensionality Reduction for Sparse Vectors
27. ICLR 2025BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
28. ICLR 2025Block-Attention for Efficient Prefilling
29. ICLR 2025Boltzmann priors for Implicit Transfer Operators
30. ICLR 2025Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
31. ICLR 2025Boosting Multiple Views for pretrained-based Continual Learning
32. ICLR 2025Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
33. ICLR 2025BP-Modified Local Loss for Efficient Training of Deep Neural Networks
34. ICLR 2025Bundle Neural Network for message diffusion on graphs
35. ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
36. ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
37. ICLR 2025CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
38. ICLR 2025CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
39. ICLR 2025CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
40. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
41. ICLR 2025Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
42. ICLR 2025ComLoRA: A Competitive Learning Approach for Enhancing LoRA
43. ICLR 2025Composable Interventions for Language Models
44. ICLR 2025Compositional simulation-based inference for time series
45. ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
46. ICLR 2025Convex Formulations for Training Two-Layer ReLU Neural Networks
47. ICLR 2025Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
48. ICLR 2025CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes
49. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
50. ICLR 2025Data Selection via Optimal Control for Language Models

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。