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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 201–225 of 380 papers

TitleStatusHype
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference—0
AI-coherent data-driven forecasting model for a combined cycle power plantCode0
Transfer-Once-For-All: AI Model Optimization for Edge—0
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures—0
Multi-modal reward for visual relationships-based image captioning—0
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataCode0
Optimization Design for Federated Learning in Heterogeneous 6G Networks—0
R2 Loss: Range Restriction Loss for Model Compression and Quantization—0
MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal calibration—0
DISCO: Distributed Inference with Sparse Communications—0
Online Arbitrary Shaped Clustering through Correlated Gaussian FunctionsCode0
Confidence-based Reliable Learning under Dual Noises—0
Multimodal Recommender Systems: A Survey—0
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning—0
Curriculum Graph Machine Learning: A Survey—0
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models—0
Execution-based Code Generation using Deep Reinforcement LearningCode1
Validation of machine learning based scenario generators—0
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning—0
Victoria Amazonica Optimization (VAO): An Algorithm Inspired by the Giant Water Lily PlantCode0
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge DevicesCode0
Multi-scale multi-modal micro-expression recognition algorithm based on transformer—0
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer—0
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms—0
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