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 76 篇，第 1 / 2 页

1. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
2. ICML 2023A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
3. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
4. ICML 2023A theory of continuous generative flow networks
5. ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
6. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
7. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
8. ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
9. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
10. ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
11. ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
12. ICML 2023Continuously Parameterized Mixture Models
13. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
14. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
15. ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
16. ICML 2023Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
17. ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
18. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
19. ICML 2023Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
20. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
21. ICML 2023Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
22. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
23. ICML 2023Generative Decoding of Visual Stimuli
24. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
25. ICML 2023Global Selection of Contrastive Batches via Optimization on Sample Permutations
26. ICML 2023High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
27. ICML 2023Identifiability of Label Noise Transition Matrix
28. ICML 2023Identification of the Adversary from a Single Adversarial Example
29. ICML 2023Instrumental Variable Estimation of Average Partial Causal Effects
30. ICML 2023Lifelong Language Pretraining with Distribution-Specialized Experts
31. ICML 2023Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
32. ICML 2023Mimetic Initialization of Self-Attention Layers
33. ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
34. ICML 2023Mixture Proportion Estimation Beyond Irreducibility
35. ICML 2023Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
36. ICML 2023Neural networks trained with SGD learn distributions of increasing complexity
37. ICML 2023Neural signature kernels as infinite-width-depth-limits of controlled ResNets
38. ICML 2023Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials
39. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
40. ICML 2023On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
41. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
42. ICML 2023On the Convergence Rates of Policy Gradient Methods
43. ICML 2023On the Estimation of Gaussian Mixture Copula Models
44. ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
45. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
46. ICML 2023On the Within-Group Fairness of Screening Classifiers
47. ICML 2023Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
48. ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
49. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
50. ICML 2023Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks

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。