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

76 papers, page 2 of 2

51. ICML 2023Personalized Federated Learning under Mixture of Distributions
52. ICML 2023Perturbation Analysis of Neural Collapse
53. ICML 2023Phase Transitions in the Detection of Correlated Databases
54. ICML 2023Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
55. ICML 2023Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
56. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
57. ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
58. ICML 2023Statistical Foundations of Prior-Data Fitted Networks
59. ICML 2023The Computational Complexity of Concise Hypersphere Classification
60. ICML 2023The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
61. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
62. ICML 2023The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
63. ICML 2023The Power of Uniform Sampling for k-Median
64. ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing
65. ICML 2023The Value of Out-of-Distribution Data
66. ICML 2023The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
67. ICML 2023Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
68. ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
69. ICML 2023Under-Counted Tensor Completion with Neural Incorporation of Attributes
70. ICML 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistance
71. ICML 2023Understanding the Impact of Adversarial Robustness on Accuracy Disparity
72. ICML 2023Unit Scaling: Out-of-the-Box Low-Precision Training
73. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
74. ICML 2023Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
75. ICML 2023Variational Mixture of HyperGenerators for Learning Distributions over Functions
76. ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction

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.