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

904 papers, page 7 of 19

301. NeurIPS 2026MoTo: Mixture of Tokenizers Towards Fair Multilingual Language Modeling
302. NeurIPS 2026Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
303. NeurIPS 2026N-vium: Mixture-of-Exits Transformer for Accelerated Exact Generation
304. NeurIPS 2026Non-Expanding Gated Continued Fraction Architecture for Feedforward Layers in Language Models
305. NeurIPS 2026Not All Routing Drift Is Harmful: Trust-Region Projection for Class-Incremental Learning
306. NeurIPS 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models
307. NeurIPS 2026PGMS: Pyramidal Gaussian Mixture Splatting for 3DGS Compression
308. NeurIPS 2026Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment
309. NeurIPS 2026PithTrain: A Compact and Agent-Native MoE Training System
310. NeurIPS 2026POISE: Instance-Specific Prompt Tuning under Latent Mixture Target Distributions
311. NeurIPS 2026Predicting Only from Selected Evidence: A Tempered Product-of-Experts Bottleneck for Auditable EEG Diagnosis
312. NeurIPS 2026PriSM: Prior-guided Shared-basis Mixture Personalization for LLMs under Sparse User Histories
313. NeurIPS 2026Private Online Prediction from Experts with Small Losses
314. NeurIPS 2026Raw-Routed Mixture of Adapters: A Causal Intervention for Routing Collapse in Time Series Foundation Models
315. NeurIPS 2026Replicas-as-Variables: A Planner for Throughput-Optimal Routing in LLM Deployment
316. NeurIPS 2026Residual Paving: Diagnosing the Routing Bottleneck in Selective Refusal Editing
317. NeurIPS 2026Route-Consistent Adaptation for Stable Quantization of Mixture-of-Experts Models with Theoretical Guarantees
318. NeurIPS 2026S²MoE: Shared-Subspace Mixture of Sparse Experts
319. NeurIPS 2026SAME: Stability-Aware Embedding Extraction in Mixture-of-Experts Language Models
320. NeurIPS 2026SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization
321. NeurIPS 2026Spectral Geometry of Attention: From Information Routing to Uncertainty
322. NeurIPS 2026Structure, Subspace and System: Push the Real Limit of Extremely Low-Bit Quantization for MoE-LLMs
323. NeurIPS 2026Swimba: Switch Mamba Model Scales State Space Models
324. NeurIPS 2026Training-Free Dynamic Upcycling of Expert Language Models
325. NeurIPS 2026vExpert: Virtualizing Expert Storage for Adaptive Load Balancing in Distributed MoE Inference
326. NeurIPS 2026Why Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts
327. CVPR 2025CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
328. CVPR 2025CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework
329. CVPR 2025Complexity Experts are Task-Discriminative Learners for Any Image Restoration
330. CVPR 2025DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
331. CVPR 2025dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
332. CVPR 2025Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
333. CVPR 2025EMOE: Modality-Specific Enhanced Dynamic Emotion Experts
334. CVPR 2025Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
335. CVPR 2025Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
336. CVPR 2025Learning on Model Weights using Tree Experts
337. CVPR 2025Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
338. CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
339. CVPR 2025Mixture of Submodules for Domain Adaptive Person Search
340. CVPR 2025MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
341. CVPR 2025MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
342. CVPR 2025Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
343. CVPR 2025pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
344. CVPR 2025Question-Aware Gaussian Experts for Audio-Visual Question Answering
345. CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
346. CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
347. CVPR 2025V^2Dial: Unification of Video and Visual Dialog via Multimodal Experts
348. ICLR 2025A Sanity Check for AI-generated Image Detection
349. ICLR 2025Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
350. ICLR 2025Balancing Act: Diversity and Consistency in Large Language Model Ensembles

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.