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Mixture-of-Experts

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Showing 951–1000 of 1312 papers

TitleStatusHype
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts—0
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising—0
Demystifying Softmax Gating Function in Gaussian Mixture of Experts—0
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic CapacityCode0
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data IntegrationCode1
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism—0
Revisiting Single-gated Mixtures of Experts—0
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement—0
Mixed Regression via Approximate Message Passing—0
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge ExcavationCode1
Re-IQA: Unsupervised Learning for Image Quality Assessment in the WildCode1
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference—0
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse SkillsCode0
WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal—0
Disguise without Disruption: Utility-Preserving Face De-Identification—0
Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset—0
Learning A Sparse Transformer Network for Effective Image DerainingCode2
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
MCR-DL: Mix-and-Match Communication Runtime for Deep Learning—0
Scaling Vision-Language Models with Sparse Mixture of Experts—0
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training—0
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference—0
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable TransformersCode1
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question AnsweringCode1
Improving Expert Specialization in Mixture of Experts—0
Improved Training of Mixture-of-Experts Language GANs—0
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors—0
Massively Multilingual Shallow Fusion with Large Language Models—0
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective—0
Alternating Updates for Efficient Transformers—0
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets—0
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction—0
Covariate-guided Bayesian mixture model for multivariate time seriesCode0
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners—0
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion—0
Generalizing Multimodal Variational Methods to Sets—0
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model—0
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation—0
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners—0
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing—0
Sparse Upcycling: Training Mixture-of-Experts from Dense CheckpointsCode2
Incorporating Polar Field Data for Improved Solar Flare Prediction—0
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
MegaBlocks: Efficient Sparse Training with Mixture-of-ExpertsCode3
Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling—0
Mixture of Decision Trees for Interpretable Machine LearningCode1
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