混合专家论文趋势 2023–2026
MoE 路由与训练
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 904 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 138 | 16 | 76 | 6 | 236 |
| 2024 | 55 | 24 | 31 | 9 | 119 |
| 2025 | 86 | 59 | 57 | 21 | 223 |
| 2026 | 75 | 73 | 132 | 46 | 326 |
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 904 篇，第 16 / 19 页
- ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
- ICML 2023The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
- ICML 2023The Power of Uniform Sampling for k-Median
- ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing
- ICML 2023The Value of Out-of-Distribution Data
- ICML 2023The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
- ICML 2023Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
- ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
- ICML 2023Under-Counted Tensor Completion with Neural Incorporation of Attributes
- ICML 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistance
- ICML 2023Understanding the Impact of Adversarial Robustness on Accuracy Disparity
- ICML 2023Unit Scaling: Out-of-the-Box Low-Precision Training
- ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
- ICML 2023Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
- ICML 2023Variational Mixture of HyperGenerators for Learning Distributions over Functions
- ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
- NeurIPS 2023[Re] Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification
- NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
- NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
- NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
- NeurIPS 2023[Re] On the Reproducibility of CartoonX
- NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
- NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
- NeurIPS 2023A benchmark of categorical encoders for binary classification
- NeurIPS 2023A Dataset of Relighted 3D Interacting Hands
- NeurIPS 2023A Dynamical System View of Langevin-Based Non-Convex Sampling
- NeurIPS 2023A Guide Through the Zoo of Biased SGD
- NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
- NeurIPS 2023A normative theory of social conflict
- NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
- NeurIPS 2023Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
- NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
- NeurIPS 2023An Empirical Investigation of the Role of Pre-training in Lifelong Learning
- NeurIPS 2023Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
- NeurIPS 2023Bounded rationality in structured density estimation
- NeurIPS 2023Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
- NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
- NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
- NeurIPS 2023Circuit as Set of Points
- NeurIPS 2023Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
- NeurIPS 2023Concentration analysis of multivariate elliptic diffusions
- NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
- NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
- NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
- NeurIPS 2023Demystifying Softmax Gating Function in Gaussian Mixture of Experts
- NeurIPS 2023Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
- NeurIPS 2023Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
- NeurIPS 2023Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
- NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
- NeurIPS 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查混合专家在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "mixture-of-experts"}
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。