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Michael Melesse proslijedio/la je Tweet
Reformer: The Efficient Transformer They present techniques to reduce the time and memory complexity of Transformer, allowing batches of very long sequences (64K) to fit on one GPU. Should pave way for Transformer to be really impactful beyond NLP domain https://openreview.net/forum?id=rkgNKkHtvB …pic.twitter.com/3YwD4A5JQs
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Michael Melesse proslijedio/la je Tweet
On the Relationship between Self-Attention and Convolutional Layers This work shows that attention layers can perform convolution and that they often learn to do so in practice. They also prove that a self-attention layer is as expressive as a conv layer. https://openreview.net/forum?id=HJlnC1rKPB …pic.twitter.com/iqioR9eXzU
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Michael Melesse proslijedio/la je Tweet
Got my final semester of grades back and I passed! (Barely with all Cs
) I'm a big believer though that sometimes caring less about your grades is the BEST thing you can do.
Build cool things for fun even if your grades sometimes suffer.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Michael Melesse proslijedio/la je Tweet
* AddisCoder 2020 dates now fixed: July 20 -- August 14 (though TAs should be available starting July 13 for program prep). * Student application is live! Students, please apply at https://apply.addiscoder.com . See https://www.addiscoder.com/#apply for more details.
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Michael Melesse proslijedio/la je Tweet
... 3) Please feel free to connect me with your friends and acquaintances. Please DM me. I’m not sure how I’ll publish my complied work, but I’m hoping to do my bit to preserve a part of our culture that I care deeply about. Thanks for all the help!
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Michael Melesse proslijedio/la je Tweet
Hello Friends. I’m hoping to undertake a somewhat exhaustive survey of (modern) Ethiopian Art in any/all forms: fine art, photography, music, theater, literature etc. Please help me by suggesting 1) Folks I can read about/talk to/visit 2) Books and other helpful resources ...
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The watchmen show was way better than I thought it would be.
#Watchmen#WatchmenHBO#drmanhattan#HBO#abar#FANARTpic.twitter.com/UWgfMSogs6
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Michael Melesse proslijedio/la je Tweet
Yes! I got my first big conference paper accepted at ICLR, with spotlight! We improve the previous DeepMind paper "NALU" by 3x-20x. – This took 7-8 months, working without any funding as an independent researcher. Paper: https://openreview.net/forum?id=H1gNOeHKPS … Code: https://github.com/AndreasMadsen/stable-nalu …pic.twitter.com/7tBivzbyir
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Favorite drawing that I did for
#inktober this week.#Inktober2019pic.twitter.com/PajZsA4fWg
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Studies of Roger Radcliffe from 101 Dalmatians.
#Disney#art#characterdesignpic.twitter.com/QM6ajFANkM
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Trying to figure out how to add more details and definition.
#art#painting#digitalart#beard#krita#artistsontwitterpic.twitter.com/wF1OjjFKps
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Turned 25. Decided to do a self portrait.
#art#digitalart#painting#selfportrait#birthday#portraitpic.twitter.com/jLxMHWOvZF
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First colored animation of a simple broken robot character.
#animation#gamedev#robot#colorpic.twitter.com/PcPynzfrryHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Did a head turn
#animation of my#character Bob.pic.twitter.com/EKgAB4tJASHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Did a study of the Walkcycle of the Knight from
#HollowKnight.#animation#videogamespic.twitter.com/AEAtQx1xpoHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Finally finished my first walk cycle
#animationpic.twitter.com/oKrlXoA1HLHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Playing around with ink drawing. Decided to do Tyrion from
#GameofThronespic.twitter.com/MhAvlUaZTa
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Did my first bit of
#animation, the classic Bouncing Ball Animation.pic.twitter.com/VM3gJDKqAKHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Michael Melesse proslijedio/la je Tweet
Like honeybadgers, Transformers truly don't care what data to learn. Here's a transformer generating multiple minutes of creative coherent music:https://twitter.com/OpenAI/status/1121457782312460288 …
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Michael Melesse proslijedio/la je Tweet
In the Transformer architecture (https://arxiv.org/abs/1706.03762 ), a Positional Embedding (PE) is added to each word embedding. This allows the model to know the word positions, both absolute and relative. Here's a diagram to understand how it works.
pic.twitter.com/awFfrDA6lT
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