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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 61–70 of 380 papers

TitleStatusHype
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
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock MarketCode0
Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge DeploymentCode0
Data-Driven Fairness Generalization for Deepfake Detection—0
Developing a Dataset-Adaptive, Normalized Metric for Machine Learning Model Assessment: Integrating Size, Complexity, and Class Imbalance—0
Lossless Model Compression via Joint Low-Rank Factorization Optimization—0
RFSR: Improving ISR Diffusion Models via Reward Feedback LearningCode1
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