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

236 papers, page 4 of 5

151. NeurIPS 2023Group Robust Classification Without Any Group Information
152. NeurIPS 2023Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
153. NeurIPS 2023Imbalanced Mixed Linear Regression
154. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
155. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
156. NeurIPS 2023Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
157. NeurIPS 2023Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
158. NeurIPS 2023Intriguing Properties of Quantization at Scale
159. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
160. NeurIPS 2023Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
161. NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
162. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
163. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
164. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
165. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
166. NeurIPS 2023Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
167. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
168. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
169. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
170. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
171. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
172. NeurIPS 2023Objaverse-XL: A Universe of 10M+ 3D Objects
173. NeurIPS 2023Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
174. NeurIPS 2023On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
175. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
176. NeurIPS 2023On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
177. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
178. NeurIPS 2023On the Convergence of Encoder-only Shallow Transformers
179. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
180. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
181. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
182. NeurIPS 2023On the Implicit Bias of Linear Equivariant Steerable Networks
183. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
184. NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
185. NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
186. NeurIPS 2023One-step differentiation of iterative algorithms
187. NeurIPS 2023Opening the Vocabulary of Egocentric Actions
188. NeurIPS 2023Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
189. NeurIPS 2023Optimization of Inter-group criteria for clustering with minimum size constraints
190. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
191. NeurIPS 2023PoET: A generative model of protein families as sequences-of-sequences
192. NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
193. NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
194. NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
195. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
196. NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
197. NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
198. NeurIPS 2023Regularization properties of adversarially-trained linear regression
199. NeurIPS 2023Representational Strengths and Limitations of Transformers
200. NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'

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.