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 16 of 19

751. ICML 2023The multimarginal optimal transport formulation of adversarial multiclass classification
752. ICML 2023The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
753. ICML 2023The Power of Uniform Sampling for k-Median
754. ICML 2023The Test of Tests: A Framework for Differentially Private Hypothesis Testing
755. ICML 2023The Value of Out-of-Distribution Data
756. ICML 2023The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
757. ICML 2023Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
758. ICML 2023Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
759. ICML 2023Under-Counted Tensor Completion with Neural Incorporation of Attributes
760. ICML 2023Understanding Oversquashing in GNNs through the Lens of Effective Resistance
761. ICML 2023Understanding the Impact of Adversarial Robustness on Accuracy Disparity
762. ICML 2023Unit Scaling: Out-of-the-Box Low-Precision Training
763. ICML 2023Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
764. ICML 2023Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
765. ICML 2023Variational Mixture of HyperGenerators for Learning Distributions over Functions
766. ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
767. NeurIPS 2023[Re] Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification
768. NeurIPS 2023[Re] Numerical influence of ReLU'(0) on backpropagation
769. NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
770. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
771. NeurIPS 2023[Re] On the Reproducibility of CartoonX
772. NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
773. NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
774. NeurIPS 2023A benchmark of categorical encoders for binary classification
775. NeurIPS 2023A Dataset of Relighted 3D Interacting Hands
776. NeurIPS 2023A Dynamical System View of Langevin-Based Non-Convex Sampling
777. NeurIPS 2023A Guide Through the Zoo of Biased SGD
778. NeurIPS 2023A Massive Scale Semantic Similarity Dataset of Historical English
779. NeurIPS 2023A normative theory of social conflict
780. NeurIPS 2023Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
781. NeurIPS 2023Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
782. NeurIPS 2023Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
783. NeurIPS 2023An Empirical Investigation of the Role of Pre-training in Lifelong Learning
784. NeurIPS 2023Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
785. NeurIPS 2023Bounded rationality in structured density estimation
786. NeurIPS 2023Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
787. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
788. NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
789. NeurIPS 2023Circuit as Set of Points
790. NeurIPS 2023Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
791. NeurIPS 2023Concentration analysis of multivariate elliptic diffusions
792. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
793. NeurIPS 2023DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
794. NeurIPS 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
795. NeurIPS 2023Demystifying Softmax Gating Function in Gaussian Mixture of Experts
796. NeurIPS 2023Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
797. NeurIPS 2023Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
798. NeurIPS 2023Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes
799. NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
800. NeurIPS 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

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.