Mixture of Experts papers, 2023–2026
MoE routing and training
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 904 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 138 | 16 | 76 | 6 | 236 |
| 2024 | 55 | 24 | 31 | 9 | 119 |
| 2025 | 86 | 59 | 57 | 21 | 223 |
| 2026 | 75 | 73 | 132 | 46 | 326 |
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
138 papers, page 3 of 3
- NeurIPS 2023Representational Strengths and Limitations of Transformers
- NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'
- NeurIPS 2023Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”
- NeurIPS 2023Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”
- NeurIPS 2023Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems
- NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
- NeurIPS 2023Sample Complexity of Forecast Aggregation
- NeurIPS 2023Self-Consistent Velocity Matching of Probability Flows
- NeurIPS 2023SHAP-IQ: Unified Approximation of any-order Shapley Interactions
- NeurIPS 2023Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms
- NeurIPS 2023ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
- NeurIPS 2023SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
- NeurIPS 2023Sparse Modular Activation for Efficient Sequence Modeling
- NeurIPS 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
- NeurIPS 2023Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows
- NeurIPS 2023Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
- NeurIPS 2023Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
- NeurIPS 2023The Adversarial Consistency of Surrogate Risks for Binary Classification
- NeurIPS 2023The Behavior and Convergence of Local Bayesian Optimization
- NeurIPS 2023The Distortion of Binomial Voting Defies Expectation
- NeurIPS 2023The emergence of clusters in self-attention dynamics
- NeurIPS 2023The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.
- NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
- NeurIPS 2023The Separation Capacity of Random Neural Networks
- NeurIPS 2023Towards a fuller understanding of neurons with Clustered Compositional Explanations
- NeurIPS 2023Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent
- NeurIPS 2023Train 'n Trade: Foundations of Parameter Markets
- NeurIPS 2023Training Chain-of-Thought via Latent-Variable Inference
- NeurIPS 2023Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
- NeurIPS 2023Training neural operators to preserve invariant measures of chaotic attractors
- NeurIPS 2023Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
- NeurIPS 2023Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
- NeurIPS 2023Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy
- NeurIPS 2023Utilitarian Algorithm Configuration
- NeurIPS 2023ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields
- NeurIPS 2023VRA: Variational Rectified Activation for Out-of-distribution Detection
- NeurIPS 2023Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
- NeurIPS 2023Where Did I Come From? Origin Attribution of AI-Generated Images
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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.