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 14 of 19

651. NeurIPS 2024Neural Experts: Mixture of Experts for Implicit Neural Representations
652. NeurIPS 2024Non-Euclidean Mixture Model for Social Network Embedding
653. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
654. NeurIPS 2024Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
655. NeurIPS 2024Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
656. NeurIPS 2024ProxyFusion: Face Feature Aggregation Through Sparse Experts
657. NeurIPS 2024Robust Mixture Learning when Outliers Overwhelm Small Groups
658. NeurIPS 2024Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
659. NeurIPS 2024Smoothie: Label Free Language Model Routing
660. NeurIPS 2024Spiking Transformer with Experts Mixture
661. NeurIPS 2024Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
662. NeurIPS 2024SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
663. NeurIPS 2024Toward Efficient Inference for Mixture of Experts
664. NeurIPS 2024Transcendence: Generative Models Can Outperform The Experts That Train Them
665. NeurIPS 2024Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
666. NeurIPS 2024Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
667. NeurIPS 2024Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
668. NeurIPS 2024Variational Distillation of Diffusion Policies into Mixture of Experts
669. CVPR 2023Balanced Product of Calibrated Experts for Long-Tailed Recognition
670. CVPR 2023ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
671. CVPR 2023Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
672. CVPR 2023MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs
673. CVPR 2023Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
674. CVPR 2023RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
675. ICLR 2023A Mixture-of-Expert Approach to RL-based Dialogue Management
676. ICLR 2023Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
677. ICLR 2023DINO as a von Mises-Fisher mixture model
678. ICLR 2023Impossibly Good Experts and How to Follow Them
679. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
680. ICLR 2023Learning About Progress From Experts
681. ICLR 2023Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
682. ICLR 2023Learning to CROSS exchange to solve min-max vehicle routing problems
683. ICLR 2023Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
684. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
685. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
686. ICLR 2023Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
687. ICLR 2023Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
688. ICLR 2023Sparsity-Constrained Optimal Transport
689. ICLR 2023Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
690. ICLR 2023Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
691. ICML 2023A Distribution Optimization Framework for Confidence Bounds of Risk Measures
692. ICML 2023A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
693. ICML 2023A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
694. ICML 2023A theory of continuous generative flow networks
695. ICML 2023A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
696. ICML 2023Active Ranking of Experts Based on their Performances in Many Tasks
697. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
698. ICML 2023Beyond the Edge of Stability via Two-step Gradient Updates
699. ICML 2023Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
700. ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator

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.