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Mixture-of-Experts

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Showing 201–250 of 1312 papers

TitleStatusHype
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework—0
Enhancing Multi-modal Models with Heterogeneous MoE Adapters for Fine-tuning—0
M^2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillation—0
Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion—0
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts—0
SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual TrackingCode1
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding—0
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses—0
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM—0
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts—0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations—0
Mixture of Lookup ExpertsCode2
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation—0
Leveraging MoE-based Large Language Model for Zero-Shot Multi-Task Semantic Communication—0
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification—0
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts—0
Fast filtering of non-Gaussian models using Amortized Optimal Transport MapsCode0
Adaptive Mixture of Low-Rank Experts for Robust Audio Spoofing Detection—0
A Review of DeepSeek Models' Key Innovative Techniques—0
MoLEx: Mixture of Layer Experts for Finetuning with Sparse UpcyclingCode0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
StableFusion: Continual Video Retrieval via Frame AdaptationCode1
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis—0
Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor CoresCode1
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and AlignmentCode0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models—0
UniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models—0
MoE-Loco: Mixture of Experts for Multitask Locomotion—0
Accelerating MoE Model Inference with Expert Sharding—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and ApplicationsCode9
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference—0
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual RestorationCode0
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba ModelsCode0
MoFE: Mixture of Frozen Experts Architecture—0
MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model—0
A Novel Trustworthy Video Summarization Algorithm Through a Mixture of LoRA Experts—0
MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering—0
Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts—0
FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework—0
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs—0
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning—0
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-ExpertsCode2
Continual Pre-training of MoEs: How robust is your router?—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
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