Multi-Task Learning | Explained in 5 Minutes
Multi-Task Learning Explained in 5 Minutes
** Referenced Papers **
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720188.pdf
SemifreddoNets Video Summary
https://youtu.be/hZWQ2RsF7Fo
Cross-stitch Networks for Multi-task Learning
https://openaccess.thecvf.com/content_cvpr_2016/papers/Misra_Cross-Stitch_Networks_for_CVPR_2016_paper.pdf
Which Tasks Should Be Learned Together in Multi-task Learning?
http://taskgrouping.stanford.edu/
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://arxiv.org/pdf/1705.07115.pdf
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
https://arxiv.org/pdf/1711.02257.pdf
Видео Multi-Task Learning | Explained in 5 Minutes канала Leo Isikdogan
** Referenced Papers **
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720188.pdf
SemifreddoNets Video Summary
https://youtu.be/hZWQ2RsF7Fo
Cross-stitch Networks for Multi-task Learning
https://openaccess.thecvf.com/content_cvpr_2016/papers/Misra_Cross-Stitch_Networks_for_CVPR_2016_paper.pdf
Which Tasks Should Be Learned Together in Multi-task Learning?
http://taskgrouping.stanford.edu/
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://arxiv.org/pdf/1705.07115.pdf
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
https://arxiv.org/pdf/1711.02257.pdf
Видео Multi-Task Learning | Explained in 5 Minutes канала Leo Isikdogan
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