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

354 papers, page 5 of 8

201. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
202. NeurIPS 2024Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
203. NeurIPS 2024Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
204. NeurIPS 2024ProxyFusion: Face Feature Aggregation Through Sparse Experts
205. NeurIPS 2024Robust Mixture Learning when Outliers Overwhelm Small Groups
206. NeurIPS 2024Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
207. NeurIPS 2024Smoothie: Label Free Language Model Routing
208. NeurIPS 2024Spiking Transformer with Experts Mixture
209. NeurIPS 2024Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
210. NeurIPS 2024SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
211. NeurIPS 2024Toward Efficient Inference for Mixture of Experts
212. NeurIPS 2024Transcendence: Generative Models Can Outperform The Experts That Train Them
213. NeurIPS 2024Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
214. NeurIPS 2024Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
215. NeurIPS 2024Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
216. NeurIPS 2024Variational Distillation of Diffusion Policies into Mixture of Experts
217. NeurIPS 2023[Re] Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification
218. NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
219. NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
220. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
221. NeurIPS 2023[Re] On the Reproducibility of CartoonX
222. NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
223. NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
224. NeurIPS 2023A benchmark of categorical encoders for binary classification
225. NeurIPS 2023A Dataset of Relighted 3D Interacting Hands
226. NeurIPS 2023A Dynamical System View of Langevin-Based Non-Convex Sampling
227. NeurIPS 2023A Guide Through the Zoo of Biased SGD
228. NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
229. NeurIPS 2023A normative theory of social conflict
230. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
231. NeurIPS 2023Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
232. NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
233. NeurIPS 2023An Empirical Investigation of the Role of Pre-training in Lifelong Learning
234. NeurIPS 2023Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
235. NeurIPS 2023Bounded rationality in structured density estimation
236. NeurIPS 2023Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
237. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
238. NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
239. NeurIPS 2023Circuit as Set of Points
240. NeurIPS 2023Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
241. NeurIPS 2023Concentration analysis of multivariate elliptic diffusions
242. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
243. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
244. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
245. NeurIPS 2023Demystifying Softmax Gating Function in Gaussian Mixture of Experts
246. NeurIPS 2023Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
247. NeurIPS 2023Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
248. NeurIPS 2023Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
249. NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
250. NeurIPS 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

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.