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Mixture-of-Experts

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Showing 451–500 of 1312 papers

TitleStatusHype
Complexity Experts are Task-Discriminative Learners for Any Image Restoration—0
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning—0
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations—0
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection—0
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models—0
A Review of DeepSeek Models' Key Innovative Techniques—0
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts—0
GRIN: GRadient-INformed MoE—0
Language-driven All-in-one Adverse Weather Removal—0
A Theoretical View on Sparsely Activated Networks—0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
Learning More Generalized Experts by Merging Experts in Mixture-of-Experts—0
Affect in Tweets Using Experts Model—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts—0
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation—0
KAT-V1: Kwai-AutoThink Technical Report—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs—0
FedMerge: Federated Personalization via Model Merging—0
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts—0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks—0
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation—0
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis—0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models—0
Federated Mixture of Experts—0
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression—0
Deep Gaussian Covariance Network—0
Federated learning using mixture of experts—0
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation—0
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts—0
Combining Parametric and Nonparametric Models for Off-Policy Evaluation—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization—0
Combinations of Adaptive Filters—0
Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models—0
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
LaDiMo: Layer-wise Distillation Inspired MoEfier—0
How Do Consumers Really Choose: Exposing Hidden Preferences with the Mixture of Experts Model—0
La-SoftMoE CLIP for Unified Physical-Digital Face Attack Detection—0
How Lightweight Can A Vision Transformer Be—0
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images—0
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts—0
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought—0
Faster MoE LLM Inference for Extremely Large Models—0
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition—0
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion—0
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective—0
An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio—0
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