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Mixture-of-Experts

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Showing 401–450 of 1312 papers

TitleStatusHype
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
Conditional computation in neural networks: principles and research trends—0
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models—0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating—0
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach—0
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation—0
FinTeamExperts: Role Specialized MOEs For Financial Analysis—0
On the Adaptation to Concept Drift for CTR Prediction—0
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement—0
FloE: On-the-Fly MoE Inference on Memory-constrained GPU—0
fMoE: Fine-Grained Expert Offloading for Large Mixture-of-Experts Serving—0
FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework—0
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation—0
A Review of Sparse Expert Models in Deep Learning—0
iMedImage Technical Report—0
FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs—0
Complexity Experts are Task-Discriminative Learners for Any Image Restoration—0
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning—0
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape—0
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL—0
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models—0
Continual Learning Using Task Conditional Neural Networks—0
Full-Precision Free Binary Graph Neural Networks—0
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs—0
Functional mixture-of-experts for classification—0
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion—0
FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation—0
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations—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
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers—0
Imitation Learning from MPC for Quadrupedal Multi-Gait Control—0
Coordination with Humans via Strategy Matching—0
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input—0
Generalizable Person Re-identification with Relevance-aware Mixture of Experts—0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
Improved Training of Mixture-of-Experts Language GANs—0
Affect in Tweets Using Experts Model—0
Generator Assisted Mixture of Experts For Feature Acquisition in Batch—0
GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
GigaChat Family: Efficient Russian Language Modeling Through Mixture of Experts Architecture—0
GLA in MediaEval 2018 Emotional Impact of Movies Task—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts—0
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method—0
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation—0
Hypertext Entity Extraction in Webpage—0
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