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Mixture-of-Experts

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Showing 1001–1050 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
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models—0
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs—0
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM—0
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media—0
EVLM: An Efficient Vision-Language Model for Visual Understanding—0
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models—0
Expert Aggregation for Financial Forecasting—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts—0
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses—0
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss—0
Experts Weights Averaging: A New General Training Scheme for Vision Transformers—0
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion—0
Explainable data-driven modeling via mixture of experts: towards effective blending of grey and black-box models—0
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities—0
Exploring Domain Robust Lightweight Reward Models based on Router Mechanism—0
Exploring Routing Strategies for Multilingual Mixture-of-Experts Models—0
M6-T: Exploring Sparse Expert Models and Beyond—0
Exploring Speaker Diarization with Mixture of Experts—0
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation—0
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective—0
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition—0
Faster MoE LLM Inference for Extremely Large Models—0
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