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 15 of 19

701. ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
702. ICML 2023Continuously Parameterized Mixture Models
703. ICML 2023Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction
704. ICML 2023Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders
705. ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
706. ICML 2023Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
707. ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
708. ICML 2023Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
709. ICML 2023Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
710. ICML 2023End-to-End Multi-Object Detection with a Regularized Mixture Model
711. ICML 2023Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
712. ICML 2023Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
713. ICML 2023Generative Decoding of Visual Stimuli
714. ICML 2023Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
715. ICML 2023Global Selection of Contrastive Batches via Optimization on Sample Permutations
716. ICML 2023High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
717. ICML 2023Identifiability of Label Noise Transition Matrix
718. ICML 2023Identification of the Adversary from a Single Adversarial Example
719. ICML 2023Instrumental Variable Estimation of Average Partial Causal Effects
720. ICML 2023Lifelong Language Pretraining with Distribution-Specialized Experts
721. ICML 2023Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
722. ICML 2023Mimetic Initialization of Self-Attention Layers
723. ICML 2023Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
724. ICML 2023Mixture Proportion Estimation Beyond Irreducibility
725. ICML 2023Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
726. ICML 2023Neural networks trained with SGD learn distributions of increasing complexity
727. ICML 2023Neural signature kernels as infinite-width-depth-limits of controlled ResNets
728. ICML 2023Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials
729. ICML 2023On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
730. ICML 2023On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
731. ICML 2023On Generalizations of Some Distance Based Classifiers for HDLSS Data
732. ICML 2023On the Convergence Rates of Policy Gradient Methods
733. ICML 2023On the Estimation of Gaussian Mixture Copula Models
734. ICML 2023On the Impact of Algorithmic Recourse on Social Segregation
735. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
736. ICML 2023On the Within-Group Fairness of Screening Classifiers
737. ICML 2023Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
738. ICML 2023Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
739. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
740. ICML 2023Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
741. ICML 2023Personalized Federated Learning under Mixture of Distributions
742. ICML 2023Perturbation Analysis of Neural Collapse
743. ICML 2023Phase Transitions in the Detection of Correlated Databases
744. ICML 2023Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models
745. ICML 2023Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
746. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
747. ICML 2023Robust Explanation for Free or At the Cost of Faithfulness
748. ICML 2023Statistical Foundations of Prior-Data Fitted Networks
749. ICML 2023The Computational Complexity of Concise Hypersphere Classification
750. ICML 2023The Edge of Orthogonality: A Simple View of What Makes BYOL Tick

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.