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Mixture-of-Experts

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Showing 1151–1175 of 1312 papers

TitleStatusHype
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation—0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models—0
LaDiMo: Layer-wise Distillation Inspired MoEfier—0
Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapping—0
Language-driven All-in-one Adverse Weather Removal—0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detection—0
LaVIDE: A Language-Vision Discriminator for Detecting Changes in Satellite Image with Map References—0
Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement—0
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy—0
Learning Factored Representations in a Deep Mixture of Experts—0
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images—0
Learning in Gated Neural Networks—0
Learning Large-scale Universal User Representation with Sparse Mixture of Experts—0
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts—0
Learning Sparse Mixture of Experts for Visual Question Answering—0
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning—0
Learning to Ground VLMs without Forgetting—0
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models—0
Leveraging Mixture of Experts for Improved Speech Deepfake Detection—0
Leveraging MoE-based Large Language Model for Zero-Shot Multi-Task Semantic Communication—0
Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion—0
Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection—0
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts—0
Lifelong Language Pretraining with Distribution-Specialized Experts—0
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