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 13 of 19

601. ICML 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
602. ICML 2024On Interpolating Experts and Multi-Armed Bandits
603. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts
604. ICML 2024One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
605. ICML 2024OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
606. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
607. ICML 2024Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
608. ICML 2024Scaling Laws for Fine-Grained Mixture of Experts
609. ICML 2024See More Details: Efficient Image Super-Resolution by Experts Mining
610. ICML 2024Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
611. ICML 2024Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
612. ICML 2024Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
613. ICML 2024Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
614. NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
615. NeurIPS 2024$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
616. NeurIPS 2024Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
617. NeurIPS 2024BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts
618. NeurIPS 2024Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
619. NeurIPS 2024Continual learning with the neural tangent ensemble
620. NeurIPS 2024CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
621. NeurIPS 2024Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
622. NeurIPS 2024Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
623. NeurIPS 2024DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
624. NeurIPS 2024Diffusion Actor-Critic with Entropy Regulator
625. NeurIPS 2024Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
626. NeurIPS 2024Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
627. NeurIPS 2024Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
628. NeurIPS 2024Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
629. NeurIPS 2024FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
630. NeurIPS 2024GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
631. NeurIPS 2024How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
632. NeurIPS 2024LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
633. NeurIPS 2024LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
634. NeurIPS 2024Mixture of Demonstrations for In-Context Learning
635. NeurIPS 2024Mixture of Experts Meets Prompt-Based Continual Learning
636. NeurIPS 2024Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
637. NeurIPS 2024Mixture of Link Predictors on Graphs
638. NeurIPS 2024Mixture of Nested Experts: Adaptive Processing of Visual Tokens
639. NeurIPS 2024Mixture of neural fields for heterogeneous reconstruction in cryo-EM
640. NeurIPS 2024Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
641. NeurIPS 2024Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
642. NeurIPS 2024MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
643. NeurIPS 2024MoEUT: Mixture-of-Experts Universal Transformers
644. NeurIPS 2024MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
645. NeurIPS 2024MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
646. NeurIPS 2024MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
647. NeurIPS 2024MoVA: Adapting Mixture of Vision Experts to Multimodal Context
648. NeurIPS 2024Multi-Head Mixture-of-Experts
649. NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
650. NeurIPS 2024Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs

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.