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

119 papers, page 1 of 3

1. CVPR 2024Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
2. CVPR 2024GART: Gaussian Articulated Template Models
3. CVPR 2024Language-driven All-in-one Adverse Weather Removal
4. CVPR 2024MoDE: CLIP Data Experts via Clustering
5. CVPR 2024Multi-Task Dense Prediction via Mixture of Low-Rank Experts
6. CVPR 2024OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
7. CVPR 2024Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
8. CVPR 2024Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
9. CVPR 2024Task-Customized Mixture of Adapters for General Image Fusion
10. ICLR 2024Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
11. ICLR 2024Divide and not forget: Ensemble of selectively trained experts in Continual Learning
12. ICLR 2024From Sparse to Soft Mixtures of Experts
13. ICLR 2024Fusing Models with Complementary Expertise
14. ICLR 2024High-dimensional SGD aligns with emerging outlier eigenspaces
15. ICLR 2024Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
16. ICLR 2024Hybrid Sharing for Multi-Label Image Classification
17. ICLR 2024Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
18. ICLR 2024Learning with Mixture of Prototypes for Out-of-Distribution Detection
19. ICLR 2024M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
20. ICLR 2024Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
21. ICLR 2024Mixture of LoRA Experts
22. ICLR 2024Mixture of Weak and Strong Experts on Graphs
23. ICLR 2024Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
24. ICLR 2024Object-Centric Learning with Slot Mixture Module
25. ICLR 2024Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
26. ICLR 2024Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
27. ICLR 2024Scaling physics-informed hard constraints with mixture-of-experts
28. ICLR 2024Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
29. ICLR 2024Sparse MoE with Language Guided Routing for Multilingual Machine Translation
30. ICLR 2024Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
31. ICLR 2024Subtractive Mixture Models via Squaring: Representation and Learning
32. ICLR 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
33. ICLR 2024Transformers can optimally learn regression mixture models
34. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
35. ICML 2024A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
36. ICML 2024A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
37. ICML 2024A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
38. ICML 2024Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
39. ICML 2024Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
40. ICML 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
41. ICML 2024Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions
42. ICML 2024Efficient Mixture Learning in Black-Box Variational Inference
43. ICML 2024Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs
44. ICML 2024Exploring the Benefit of Activation Sparsity in Pre-training
45. ICML 2024Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
46. ICML 2024Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
47. ICML 2024INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
48. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
49. ICML 2024Learning to Route Among Specialized Experts for Zero-Shot Generalization
50. ICML 2024Merging Multi-Task Models via Weight-Ensembling Mixture of Experts

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.