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Mixture-of-Experts

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Showing 1051–1075 of 1312 papers

TitleStatusHype
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts—0
OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning—0
On component interactions in two-stage recommender systems—0
SkillNet-NLU: A Sparsely Activated Model for General-Purpose Natural Language Understanding—0
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment—0
One Student Knows All Experts Know: From Sparse to Dense—0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
On Least Square Estimation in Softmax Gating Mixture of Experts—0
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts—0
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning—0
On Parameter Estimation in Deviated Gaussian Mixture of Experts—0
On the Adversarial Robustness of Mixture of Experts—0
On the effectiveness of discrete representations in sparse mixture of experts—0
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks—0
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression—0
On the Representation Collapse of Sparse Mixture of Experts—0
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs—0
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration—0
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework—0
Optimizing 6G Integrated Sensing and Communications (ISAC) via Expert Networks—0
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing—0
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques—0
Optimizing Mixture-of-Experts Inference Time Combining Model Deployment and Communication Scheduling—0
Optimizing Mixture of Experts using Dynamic Recompilations—0
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach—0
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