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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 301–325 of 380 papers

TitleStatusHype
Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis—0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data—0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach—0
Enhancing supply chain security with automated machine learning—0
Enterprise Large Language Model Evaluation Benchmark—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units—0
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms—0
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes—0
Extending Universal Intelligence Models with Formal Notion of Representation—0
Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network—0
Federated Self-Supervised Learning for Acoustic Event Classification—0
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy—0
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework—0
Few-Shot Charge Prediction with Multi-Grained Features and MutualInformation—0
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data—0
Flattening Singular Values of Factorized Convolution for Medical Images—0
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection—0
Flextron: Many-in-One Flexible Large Language Model—0
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