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Mixture-of-Experts

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Showing 1001–1050 of 1312 papers

TitleStatusHype
UniCodec: Unified Audio Codec with Single Domain-Adaptive Codebook—0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations—0
Unified Modeling of Multi-Domain Multi-Device ASR Systems—0
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting—0
Unimodal-driven Distillation in Multimodal Emotion Recognition with Dynamic Fusion—0
UniPaint: Unified Space-time Video Inpainting via Mixture-of-Experts—0
UniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models—0
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner—0
Unraveling the Localized Latents: Learning Stratified Manifold Structures in LLM Embedding Space with Sparse Mixture-of-Experts—0
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models—0
UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS—0
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging—0
Upcycling Large Language Models into Mixture of Experts—0
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC—0
Utility-Driven Speculative Decoding for Mixture-of-Experts—0
Vanilla Transformers are Transfer Capability Teachers—0
Variational Distillation of Diffusion Policies into Mixture of Experts—0
Variational Mixture of Gaussian Process Experts—0
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts—0
Visual Saliency Prediction Using a Mixture of Deep Neural Networks—0
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts—0
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models—0
WeNet: Weighted Networks for Recurrent Network Architecture Search—0
Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production—0
Wolf: Captioning Everything with a World Summarization Framework—0
Yi-Lightning Technical Report—0
Zero-Resource Multilingual Model Transfer: Learning What to Share—0
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts—0
Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems—0
Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond—0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition—0
Multimodal Variational Autoencoder: a Barycentric View—0
Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning—0
Multi-Task Learning via Task Multi-Clustering—0
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth—0
Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts—0
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts—0
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System—0
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data—0
Neural Experts: Mixture of Experts for Implicit Neural Representations—0
Neural Transduction for Multilingual Lexical Translation—0
NeuroMoE: A Transformer-Based Mixture-of-Experts Framework for Multi-Modal Neurological Disorder Classification—0
Neutral residues: revisiting adapters for model extension—0
NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-ID—0
Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts—0
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach—0
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation—0
Noise-Robustness Through Noise: Asymmetric LoRA Adaption with Poisoning Expert—0
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)—0
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