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

354 papers, page 7 of 8

301. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
302. NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
303. NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
304. NeurIPS 2023One-step differentiation of iterative algorithms
305. NeurIPS 2023Opening the Vocabulary of Egocentric Actions
306. NeurIPS 2023Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
307. NeurIPS 2023Optimization of Inter-group criteria for clustering with minimum size constraints
308. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
309. NeurIPS 2023PoET: A generative model of protein families as sequences-of-sequences
310. NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
311. NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
312. NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
313. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
314. NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
315. NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
316. NeurIPS 2023Regularization properties of adversarially-trained linear regression
317. NeurIPS 2023Representational Strengths and Limitations of Transformers
318. NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
319. NeurIPS 2023Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”
320. NeurIPS 2023Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”
321. NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
322. NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
323. NeurIPS 2023Sample Complexity of Forecast Aggregation
324. NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
325. NeurIPS 2023SHAP-IQ: Unified Approximation of any-order Shapley Interactions
326. NeurIPS 2023Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
327. NeurIPS 2023ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
328. NeurIPS 2023SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
329. NeurIPS 2023Sparse Modular Activation for Efficient Sequence Modeling
330. NeurIPS 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
331. NeurIPS 2023Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
332. NeurIPS 2023Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
333. NeurIPS 2023Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
334. NeurIPS 2023The Adversarial Consistency of Surrogate Risks for Binary Classification
335. NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
336. NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
337. NeurIPS 2023The emergence of clusters in self-attention dynamics
338. NeurIPS 2023The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.
339. NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
340. NeurIPS 2023The Separation Capacity of Random Neural Networks
341. NeurIPS 2023Towards a fuller understanding of neurons with Clustered Compositional Explanations
342. NeurIPS 2023Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
343. NeurIPS 2023Train 'n Trade: Foundations of Parameter Markets
344. NeurIPS 2023Training Chain-of-Thought via Latent-Variable Inference
345. NeurIPS 2023Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
346. NeurIPS 2023Training neural operators to preserve invariant measures of chaotic attractors
347. NeurIPS 2023Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
348. NeurIPS 2023Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
349. NeurIPS 2023Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy
350. NeurIPS 2023Utilitarian Algorithm Configuration

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.