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

172 papers, page 4 of 4

151. ICLR 2024Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
152. ICLR 2024Sparse MoE with Language Guided Routing for Multilingual Machine Translation
153. ICLR 2024Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
154. ICLR 2024Subtractive Mixture Models via Squaring: Representation and Learning
155. ICLR 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
156. ICLR 2024Transformers can optimally learn regression mixture models
157. ICLR 2023A Mixture-of-Expert Approach to RL-based Dialogue Management
158. ICLR 2023Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
159. ICLR 2023DINO as a von Mises-Fisher mixture model
160. ICLR 2023Impossibly Good Experts and How to Follow Them
161. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
162. ICLR 2023Learning About Progress From Experts
163. ICLR 2023Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
164. ICLR 2023Learning to CROSS exchange to solve min-max vehicle routing problems
165. ICLR 2023Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
166. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
167. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
168. ICLR 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
169. ICLR 2023Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
170. ICLR 2023Sparsity-Constrained Optimal Transport
171. ICLR 2023Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
172. ICLR 2023Task-customized Masked Autoencoder via Mixture of Cluster-conditional 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.