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Mixture-of-Experts

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Showing 1001–1025 of 1312 papers

TitleStatusHype
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging—0
Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks—0
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation—0
Efficient Language Modeling with Sparse all-MLP—0
Efficient Large Scale Language Modeling with Mixtures of Experts—0
Efficient Large Scale Video Classification—0
EfficientLLM: Efficiency in Large Language Models—0
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts—0
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping—0
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach—0
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference—0
ENACT-Heart -- ENsemble-based Assessment Using CNN and Transformer on Heart Sounds—0
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection—0
Enhancing Code-Switching Speech Recognition with LID-Based Collaborative Mixture of Experts Model—0
Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks—0
Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture—0
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA—0
Enhancing Multi-modal Models with Heterogeneous MoE Adapters for Fine-tuning—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
Evaluating Expert Contributions in a MoE LLM for Quiz-Based Tasks—0
EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning—0
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