„Multi-task learning“
Suchergebnisse
614 Treffer
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Forecasting leading economic indicators in the US from financial news using multi-task learning
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A comparative study on multi-task uncertainty quantification in semantic segmentation and monocular depth estimation
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A multi-task learning model for global soil moisture prediction based on adaptive weight allocation
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Task offloading and resource allocation for multi-UAV asset edge computing with multi-agent deep reinforcement learning
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Explainable deep learning for age and gender estimation in dental CBCT scans using attention mechanisms and multi task learning
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Enhancing scene text script identification through multi-task self-supervised learning
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6D NewtonianVAE: 6-DoF object pose estimation and control method for robotic tasks via learning from multi-view visual information
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Multi-task feature integration and interactive active learning for scene image resizing
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Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction
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Feature disentanglement, selection, and reaggregation method for multi-task learning
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TextSCD: Leveraging Text-based Semantic Guidance for Remote Sensing Image Semantic Change Detection
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Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques
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Enhancing Tool Wear Prediction Accuracy by Integrating Multi-Task Learning with Cutting Force Estimation
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning
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Multi-task learning framework using tri-encoder with caption prompt for multimodal aspect-based sentiment analysis
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A Synchronous Processing Method for Underwater Sound Source Recognition and Range Estimation Based on Multi-Task Learning and Transfer Learning
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QQLAOA: task scheduling with multi-objectives quantum mutation and Q-learning based arithmetic optimizer algorithm in cloud data centers
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Automating multi-task learning on optical neural networks with weight sharing and physical rotation
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SIFT: enhance the performance of vulnerability detection by incorporating structural knowledge and multi-task learning
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Enhancing medical text classification with GAN-based data augmentation and multi-task learning in BERT