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Mixture-of-Experts

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Showing 326–350 of 1312 papers

TitleStatusHype
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningCode1
Pheromone-based Learning of Optimal Reasoning Paths—0
Adaptive Prompt: Unlocking the Power of Visual Prompt Tuning—0
MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability—0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks—0
Free Agent in Agent-Based Mixture-of-Experts Generative AI Framework—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference—0
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning—0
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of ExpertsCode1
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning—0
Mean-field limit from general mixtures of experts to quantum neural networks—0
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images—0
CSAOT: Cooperative Multi-Agent System for Active Object Tracking—0
LLM4WM: Adapting LLM for Wireless Multi-Tasking—0
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner—0
BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR—0
Autonomy-of-Experts Models—0
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection—0
Modality Interactive Mixture-of-Experts for Fake News DetectionCode1
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models—0
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing NetworksCode1
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models—0
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models—0
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