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Mixture-of-Experts

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Showing 951–1000 of 1312 papers

TitleStatusHype
Theory on Mixture-of-Experts in Continual Learning—0
The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts—0
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
Time series forecasting with high stakes: A field study of the air cargo industry—0
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines—0
Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters—0
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors—0
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning—0
Topic Compositional Neural Language Model—0
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis—0
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks—0
Towards 3D Acceleration for low-power Mixture-of-Experts and Multi-Head Attention Spiking Transformers—0
Towards A Better Metric for Text-to-Video Generation—0
Towards an empirical understanding of MoE design choices—0
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model—0
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts—0
Towards Efficient Foundation Model for Zero-shot Amodal Segmentation—0
Towards Efficient Single Image Dehazing and Desnowing—0
Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts—0
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models—0
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference—0
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation—0
Towards Smart Point-and-Shoot Photography—0
Towards Vision Mixture of Experts for Wildlife Monitoring on the Edge—0
Training-efficient density quantum machine learning—0
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach—0
TrajMoE: Spatially-Aware Mixture of Experts for Unified Human Mobility Modeling—0
Transformer Layer Injection: A Novel Approach for Efficient Upscaling of Large Language Models—0
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment—0
Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data—0
Towards Incremental Learning in Large Language Models: A Critical Review—0
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
Tuning of Mixture-of-Experts Mixed-Precision Neural Networks—0
Turn Waste into Worth: Rectifying Top-k Router of MoE—0
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training—0
Two Is Better Than One: Rotations Scale LoRAs—0
U2++ MoE: Scaling 4.7x parameters with minimal impact on RTF—0
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification—0
Fast Deep Mixtures of Gaussian Process Experts—0
Ultra-Sparse Memory Network—0
UME: Upcycling Mixture-of-Experts for Scalable and Efficient Automatic Speech Recognition—0
UMoE: Unifying Attention and FFN with Shared Experts—0
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts—0
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections—0
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
UniAdapt: A Universal Adapter for Knowledge Calibration—0
UNIALIGN: Scaling Multimodal Alignment within One Unified Model—0
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