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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 121–130 of 380 papers

TitleStatusHype
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark—0
Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis—0
Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities—0
Effortless Active Labeling for Long-Term Test-Time AdaptationCode0
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration—0
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks—0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
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