Essays about: "Multi-Task Learning"
Showing result 16 - 20 of 32 essays containing the words Multi-Task Learning.
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16. Survival Comparison of Open and Endovascular Repair Using Machine Learning
University essay from KTH/Matematik (Avd.)Abstract : Today there exists two types of preventive surgical treatment procedures for Abdominal Aortic Aneurysm. In order to make an informed choice of treatment, the clinician needs to have a clear picture of how the choice will affect the patients chances of survival. READ MORE
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17. Extracting Salient Named Entities from Financial News Articles
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis explores approaches for extracting company mentions from financial newsarticles that carry a central role in the news. The thesis introduces the task of salient named entity extraction (SNEE): extract all salient named entity mentions in a text document. READ MORE
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18. Training Multi-Task Deep Neural Networks with Disjoint Datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work examines training neural networks which are capable of learning multiple tasks. We propose an architecture trained on KITTI and Cityscapes, which respectively include only the annotations for 2D object detection and semantic segmentation. READ MORE
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19. Multi-Task Convolutional Learning for Flame Characterization
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : This thesis explores multi-task learning for combustion flame characterization i.e to learn different characteristics of the combustion flame. We propose a multi-task convolutional neural network for two tasks i.e. READ MORE
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20. On The Effectiveness of Multi-TaskLearningAn evaluation of Multi-Task Learning techniques in deep learning models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Multi-Task Learning is today an interesting and promising field which many mention as a must for achieving the next level advancement within machine learning. However, in reality, Multi-Task Learning is much more rarely used in real-world implementations than its more popular cousin Transfer Learning. READ MORE