Tag: multi-task learning
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3D SAM Framework for Multi-Task Radiotherapy Injury Segmentation
Explore a 3D SAM-based framework for accurate multi-task segmentation of radiotherapy-induced tissue injuries using limited data and progressive prompting.
Multi-Task Reinforcement Learning for Autonomous Reef Monitoring
Discover how multi-task reinforcement learning enhances autonomous reef monitoring with adaptable, robust control policies for diverse underwater tasks.
CycloneMAE: Advanced Multi-Task Model for Tropical Cyclone Forecasting
Discover CycloneMAE, a scalable multi-task learning model enhancing global tropical cyclone probabilistic forecasting with improved accuracy and insights.
Case-Based Learning Boosts Autonomous Agent Expertise
Enhance autonomous agents with case-based learning to transfer real-world expertise and improve performance on complex tasks.
Adversarial Multi-task Learning for Interference Detection
Discover how adversarial multi-task learning improves joint interference detection and identification in wireless systems with robust, data-efficient model...