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