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

296 papers, page 5 of 6

201. ICML 2024Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
202. ICML 2024Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
203. ICML 2024INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
204. ICML 2024Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
205. ICML 2024Learning to Route Among Specialized Experts for Zero-Shot Generalization
206. ICML 2024Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
207. ICML 2024Mixtures of Experts Unlock Parameter Scaling for Deep RL
208. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
209. ICML 2024On Interpolating Experts and Multi-Armed Bandits
210. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts
211. ICML 2024One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
212. ICML 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
213. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
214. ICML 2024Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
215. ICML 2024Scaling Laws for Fine-Grained Mixture of Experts
216. ICML 2024See More Details: Efficient Image Super-Resolution by Experts Mining
217. ICML 2024Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
218. ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
219. ICML 2024Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
220. ICML 2024Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
221. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
222. ICML 2023A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
223. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
224. ICML 2023A theory of continuous generative flow networks
225. ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
226. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
227. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
228. ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
229. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
230. ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
231. ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
232. ICML 2023Continuously Parameterized Mixture Models
233. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
234. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
235. ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
236. ICML 2023Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
237. ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
238. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
239. ICML 2023Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
240. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
241. ICML 2023Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
242. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
243. ICML 2023Generative Decoding of Visual Stimuli
244. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
245. ICML 2023Global Selection of Contrastive Batches via Optimization on Sample Permutations
246. ICML 2023High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
247. ICML 2023Identifiability of Label Noise Transition Matrix
248. ICML 2023Identification of the Adversary from a Single Adversarial Example
249. ICML 2023Instrumental Variable Estimation of Average Partial Causal Effects
250. ICML 2023Lifelong Language Pretraining with Distribution-Specialized 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.