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 17 of 19

801. NeurIPS 2023Direct Training of SNN using Local Zeroth Order Method
802. NeurIPS 2023Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
803. NeurIPS 2023Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
804. NeurIPS 2023Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
805. NeurIPS 2023Dynamic Regret of Adversarial Linear Mixture MDPs
806. NeurIPS 2023Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities
807. NeurIPS 2023Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
808. NeurIPS 2023EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
809. NeurIPS 2023Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
810. NeurIPS 2023Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
811. NeurIPS 2023Fantastic Robustness Measures: The Secrets of Robust Generalization
812. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
813. NeurIPS 2023Gaussian Mixture Solvers for Diffusion Models
814. NeurIPS 2023Generalization in the Face of Adaptivity: A Bayesian Perspective
815. NeurIPS 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
816. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
817. NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
818. NeurIPS 2023Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
819. NeurIPS 2023Group Robust Classification Without Any Group Information
820. NeurIPS 2023Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
821. NeurIPS 2023Imbalanced Mixed Linear Regression
822. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
823. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
824. NeurIPS 2023Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
825. NeurIPS 2023Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
826. NeurIPS 2023Intriguing Properties of Quantization at Scale
827. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
828. NeurIPS 2023Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
829. NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
830. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
831. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
832. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
833. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
834. NeurIPS 2023Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
835. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
836. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
837. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
838. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
839. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
840. NeurIPS 2023Objaverse-XL: A Universe of 10M+ 3D Objects
841. NeurIPS 2023Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
842. NeurIPS 2023On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
843. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
844. NeurIPS 2023On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
845. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
846. NeurIPS 2023On the Convergence of Encoder-only Shallow Transformers
847. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
848. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
849. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
850. NeurIPS 2023On the Implicit Bias of Linear Equivariant Steerable Networks

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.