Mixture of Experts papers, 2023–2026

Key findings

• Mixture of Experts went from 236 papers in 2023 to 326 in 2026, roughly 1.4x in three years.
• NeurIPS publishes the most Mixture of Experts work: 354 papers from 2023 to 2026, 39% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 4 in 2023 to 79 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #4 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 1.4x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Mixture of Experts papers

223 papers, page 1 of 5

1. CVPR 2025CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
2. CVPR 2025CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework
3. CVPR 2025Complexity Experts are Task-Discriminative Learners for Any Image Restoration
4. CVPR 2025DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
5. CVPR 2025dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
6. CVPR 2025Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
7. CVPR 2025EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
8. CVPR 2025Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
9. CVPR 2025Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
10. CVPR 2025Learning on Model Weights using Tree Experts
11. CVPR 2025Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
12. CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
13. CVPR 2025Mixture of Submodules for Domain Adaptive Person Search
14. CVPR 2025MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
15. CVPR 2025MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
16. CVPR 2025Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
17. CVPR 2025pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
18. CVPR 2025Question-Aware Gaussian Experts for Audio-Visual Question Answering
19. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
20. CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
21. CVPR 2025V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts
22. ICLR 2025A Sanity Check for AI-generated Image Detection
23. ICLR 2025Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
24. ICLR 2025Balancing Act: Diversity and Consistency in Large Language Model Ensembles
25. ICLR 2025BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
26. ICLR 2025CAMEx: Curvature-aware Merging of Experts
27. ICLR 2025Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
28. ICLR 2025Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
29. ICLR 2025Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
30. ICLR 2025Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
31. ICLR 2025Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts
32. ICLR 2025Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
33. ICLR 2025EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
34. ICLR 2025Efficient Dictionary Learning with Switch Sparse Autoencoders
35. ICLR 2025Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
36. ICLR 2025Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
37. ICLR 2025Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts
38. ICLR 2025ELBOing Stein: Variational Bayes with Stein Mixture Inference
39. ICLR 2025End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler
40. ICLR 2025Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
41. ICLR 2025Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
42. ICLR 2025Gaussian Mixture Counterfactual Generator
43. ICLR 2025Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
44. ICLR 2025GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
45. ICLR 2025Graph Sparsification via Mixture of Graphs
46. ICLR 2025HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
47. ICLR 2025Intrinsic User-Centric Interpretability through Global Mixture of Experts
48. ICLR 2025Layerwise Recurrent Router for Mixture-of-Experts
49. ICLR 2025Many-Objective Multi-Solution Transport
50. ICLR 2025Mixture Compressor for Mixture-of-Experts LLMs Gains More

FAQ

How many Mixture of Experts papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

904 in total: 236 in 2023, 119 in 2024, 223 in 2025, 326 in 2026.

How many Mixture of Experts papers are at NeurIPS 2026?

NeurIPS 2026 has 75 Mixture of Experts papers, versus 86 the year before.

How many Mixture of Experts papers are at ICLR 2026?

ICLR 2026 has 73 Mixture of Experts papers, versus 59 the year before.

How many Mixture of Experts papers are at ICML 2026?

ICML 2026 has 132 Mixture of Experts papers, versus 57 the year before.

How many Mixture of Experts papers are at CVPR 2026?

CVPR 2026 has 46 Mixture of Experts papers, versus 21 the year before.

Which conference publishes the most Mixture of Experts papers?

NeurIPS, with 354 papers from 2023 to 2026.