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 326 篇，第 1 / 7 页

1. CVPR 2026Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing
2. CVPR 2026AtomicVLA Unlocking the Potential of Atomic Skill Learning in Robots
3. CVPR 2026CARE-Edit Condition-Aware Routing of Experts for Contextual Image Editing
4. CVPR 2026DFD-HR Generalizable Deepfake Detection via Hierarchical Routing Learning
5. CVPR 2026Divide Conquer and Aggregate Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical
6. CVPR 2026DriveMoE Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
7. CVPR 2026Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
8. CVPR 2026ERMoE Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
9. CVPR 2026HBridge H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding
10. CVPR 2026Joint Learning of General and Diverse Patterns with Mixture of
11. CVPR 2026JUMP-Hand Learning Joint-wise Uncertainty to Gate Mixture of View Experts
12. CVPR 2026Local Precise Refinement A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model
13. CVPR 2026Love Me Love My Label Rethinking the Role of Labels
14. CVPR 2026M4-SAM Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient
15. CVPR 2026MDCS-MoAME Multi-directional Composite Scanning with Mixture of Attention and Mamba
16. CVPR 2026MetricHMSR Metric Human Mesh and Scene Recovery from Monocular Images
17. CVPR 2026MixFlow Training Alleviating Exposure Bias with Slowed Interpolation Mixture
18. CVPR 2026Mixture of Prototypes for Test-time Adaptive Segmentation
19. CVPR 2026Mixture of States Routing Token-Level Dynamics for Multimodal Generation
20. CVPR 2026Mixture of Style Experts for Diverse Image Stylization
21. CVPR 2026Mixture-of-Experts based Feature Decoupling for Open Vocabulary Scene Graph Generation
22. CVPR 2026MoDES Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert
23. CVPR 2026MoE-GRPO Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
24. CVPR 2026MoEActok A MoE-based Action Tokenizer for Vision-Language-Action Models
25. CVPR 2026MoECLIP Patch-Specialized Experts for Zero-shot Anomaly Detection
26. CVPR 2026MoRE 3D Visual Geometry Reconstruction Meets Mixture-of-Experts
27. CVPR 2026NESTOR A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training
28. CVPR 2026Neural Mixture Density Processes
29. CVPR 2026Nonlinear Color Transfer via Learnable Bezier Flows
30. CVPR 2026On Tokens Dilemma Dynamic MoE with Drift-Aware Token Assignment for
31. CVPR 2026PromptMoE A Segmentation Refinement Framework Leveraging Mixture of Experts for
32. CVPR 2026Quant Experts Token-aware Adaptive Error Reconstruction with Mixture of Experts
33. CVPR 2026ReMoE Region-Mixture Experts for Adversarially-Robust Vision Transformers
34. CVPR 2026SegMoTE Token-Level Mixture of Experts for Medical Image Segmentation
35. CVPR 2026Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
36. CVPR 2026SketchAssist A Practical Assistant for Semantic Edits and Precise Local
37. CVPR 2026Soft Modality-Guided Expert Specialization in MoE-VLMs
38. CVPR 2026Sparse Spectral LoRA Routed Experts for Medical VLMs
39. CVPR 2026Spectral Mixture-of-Experts for Continual Learning
40. CVPR 2026TAG-MoE Task-Aware Gating for Unified Generative Mixture-of-Experts
41. CVPR 2026TAS-LoRA Transformer Architecture Search with Mixture-of-LoRA Experts
42. CVPR 2026Teacher-Guided Routing for Sparse Vision Mixture-of-Experts
43. CVPR 2026TopoCL Topological Contrastive Learning for Medical Imaging
44. CVPR 2026UniMMAD Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature
45. CVPR 2026VidPrism Heterogeneous Mixture of Experts for Image-to-Video Transfer
46. CVPR 2026YOLO-Master MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection
47. ICLR 2026A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
48. ICLR 2026Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies
49. ICLR 2026Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity
50. ICLR 2026Adaptive Mixture of Disentangled Experts for Dynamic Graphs under Distribution Shifts

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。