Multi-Task Learning | Explained in 5 Minutes

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Multi-Task Learning Explained in 5 Minutes

** Referenced Papers **

SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems

SemifreddoNets Video Summary

Cross-stitch Networks for Multi-task Learning

Which Tasks Should Be Learned Together in Multi-task Learning?

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

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That's my paper! I'm happy to answer any questions people might have here or by email.

TrevorStandley

Your positivity is really helpful for understanding :) Thanks!

shatandv

Holy $hit this is a good video. Really helped on my graduation project, thanks!

Arsenik

Good job ! Excellent explanation.. keep doing these videos

sloperclimbing

Thanks, Leo. This was a great explanation!

anirudhthatipelli

few years back I was training multi-task learning model for clinical text data and let me tell you it was a nightmare! thanks for the video!

Omkar-eyls

Very nice papers to mention, thank you!

alifarrokh

well organized and succinct explanation

yukewang

Is there a way to support you? Like patreon or something..

harz

The beard really suits you! Didnt watch the video yet but Im sure its good. :)

abdullahkilinc

furkan videoyu editlemeden tek seferde mi çektin :) bravo. mpalden bir tost.

muztehzibakis

When dealing with the human brain multitasking makes things slower since it has to switch every time to do a task. Sure it helps the person increase ability but still not as efficient as single task for more complex things.
As for computer it buckles at times and can not handle multi tasking when I try to test it out. multitask good for speed but not for power at times. Some can disagree but that is my experience.
Even the arm processor uses a simple task to do things which will beat out the x86 and apple will have the more powerful processor which is a double edges sword to be a good thing and a bad thing.

speaking of apple on another note.
70% use windows, 10% mac, 5% linux, 13% mobile
80% use chrome browser, 6% firefox, 5% IE, 4% safari
Just like all rotten apples that fall from a tree they remain at the bottom.

trench

Multi-Task Learning | Explained in 5 Minutes

Multi-Task Learning | Explained in 5 Minutes

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