混合专家论文趋势 2023–2026

主要结论

• 混合专家论文从 2023 年的 236 篇增长到 2026 年的 326 篇，三年间扩大到约 1.4 倍。
• NeurIPS 是发混合专家论文最多的会议，2023–2026 年共 354 篇，占四个会议总量的 39%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 79 篇。
• 在「优化与缩放」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的缩放定律是 4.1 倍，混合专家是 1.4 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 2026A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution
• ICML 2026$\phi$-Balancing for Mixture-of-Experts Training
• ICLR 2026A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
• CVPR 2026Divide Conquer and Aggregate Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical
• NeurIPS 2025Advancing Expert Specialization for Better MoE
• ICML 2025$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
• ICLR 2025A Sanity Check for AI-generated Image Detection
• CVPR 2025Complexity Experts are Task-Discriminative Learners for Any Image Restoration
• NeurIPS 2024$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
• ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
• ICLR 2024Fusing Models with Complementary Expertise
• CVPR 2024MoDE: CLIP Data Experts via Clustering
• NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
• ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
• ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
• CVPR 2023Balanced Product of Calibrated Experts for Long-Tailed Recognition
• NeurIPS 2026AdERA: Adaptive Exponent Reuse for Lossless Allgather in Sharded MoE Training
• ICML 2026Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
• ICLR 2026Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies
• CVPR 2026ERMoE Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization

全部混合专家论文

共 82 篇，第 2 / 2 页

51. CVPR 2025dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
52. CVPR 2025Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
53. CVPR 2025EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
54. CVPR 2025Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
55. CVPR 2025Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
56. CVPR 2025Learning on Model Weights using Tree Experts
57. CVPR 2025Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
58. CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
59. CVPR 2025Mixture of Submodules for Domain Adaptive Person Search
60. CVPR 2025MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
61. CVPR 2025MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
62. CVPR 2025Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
63. CVPR 2025pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
64. CVPR 2025Question-Aware Gaussian Experts for Audio-Visual Question Answering
65. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
66. CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
67. CVPR 2025V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts
68. CVPR 2024Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
69. CVPR 2024GART: Gaussian Articulated Template Models
70. CVPR 2024Language-driven All-in-one Adverse Weather Removal
71. CVPR 2024MoDE: CLIP Data Experts via Clustering
72. CVPR 2024Multi-Task Dense Prediction via Mixture of Low-Rank Experts
73. CVPR 2024OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
74. CVPR 2024Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
75. CVPR 2024Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
76. CVPR 2024Task-Customized Mixture of Adapters for General Image Fusion
77. CVPR 2023Balanced Product of Calibrated Experts for Long-Tailed Recognition
78. CVPR 2023ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
79. CVPR 2023Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
80. CVPR 2023MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs
81. CVPR 2023Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
82. CVPR 2023RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction

常见问题

2023–2026 年四大会议一共有多少篇混合专家论文？

共 904 篇，按年份分别是 2023 年 236 篇、2024 年 119 篇、2025 年 223 篇、2026 年 326 篇。

NeurIPS 2026 有多少篇混合专家论文？

NeurIPS 2026 有 75 篇混合专家论文，上一届是 86 篇。

ICLR 2026 有多少篇混合专家论文？

ICLR 2026 有 73 篇混合专家论文，上一届是 59 篇。

ICML 2026 有多少篇混合专家论文？

ICML 2026 有 132 篇混合专家论文，上一届是 57 篇。

CVPR 2026 有多少篇混合专家论文？

CVPR 2026 有 46 篇混合专家论文，上一届是 21 篇。

哪个会议的混合专家论文最多？

NeurIPS，2023–2026 年共 354 篇。