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 9 of 19

401. ICLR 2025Theory on Mixture-of-Experts in Continual Learning
402. ICLR 2025Tight Clusters Make Specialized Experts
403. ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
404. ICLR 2025Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow
405. ICLR 2025Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
406. ICLR 2025Your Mixture-of-Experts LLM Is Secretly an Embedding Model for Free
407. ICML 2025$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
408. ICML 2025A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
409. ICML 2025A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
410. ICML 2025Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
411. ICML 2025Autonomy-of-Experts Models
412. ICML 2025Bayesian Inference for Correlated Human Experts and Classifiers
413. ICML 2025Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
414. ICML 2025Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
415. ICML 2025DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
416. ICML 2025Delta Decompression for MoE-based LLMs Compression
417. ICML 2025Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
418. ICML 2025Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
419. ICML 2025Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
420. ICML 2025Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
421. ICML 2025FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification
422. ICML 2025FloE: On-the-Fly MoE Inference on Memory-constrained GPU
423. ICML 2025Gaussian Mixture Flow Matching Models
424. ICML 2025Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
425. ICML 2025Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
426. ICML 2025Learning Mixtures of Experts with EM: A Mirror Descent Perspective
427. ICML 2025M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
428. ICML 2025Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
429. ICML 2025Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
430. ICML 2025Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
431. ICML 2025MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
432. ICML 2025Mixture of Experts Made Intrinsically Interpretable
433. ICML 2025Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
434. ICML 2025Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
435. ICML 2025Mixture of Lookup Experts
436. ICML 2025MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
437. ICML 2025MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
438. ICML 2025MoH: Multi-Head Attention as Mixture-of-Head Attention
439. ICML 2025MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
440. ICML 2025Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
441. ICML 2025Multi-Modal Object Re-identification via Sparse Mixture-of-Experts
442. ICML 2025MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
443. ICML 2025Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
444. ICML 2025On Learning Parallel Pancakes with Mostly Uniform Weights
445. ICML 2025On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
446. ICML 2025On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
447. ICML 2025Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
448. ICML 2025Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
449. ICML 2025Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
450. ICML 2025Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

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.