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Prikvačeni tweet
would be presenting our paper: Neural Drugnet which came 2nd in the shared task on Drug intake detection at @EMNLP2018 Slides: https://goo.gl/7sJxCp Paper: https://arxiv.org/abs/1809.01500 Come check our poster and chat about ULMFiT
@jeremyphoward@seb_ruderPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
No one knows the full underlying meaning, but you can strive to understand the meaning of a few words. Choose those words wisely!
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Knowing a particular word doesn't mean you fully understand what it is. You would never know the full underlying meaning of poverty without being deprived. As photographs/maps are proxy to real-world scenes, so are words merely proxies, eg names are proxy to people and places.
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Nishant Nikhil proslijedio/la je Tweet
At any time of your life, you should be building a side income and invest. At any time of your life, you should be reading books hard to grasp. At any time of your life, you should be helping someone. At any time of your life, you should be building loyal friendships.
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Nishant Nikhil proslijedio/la je Tweet
The mysterious and beautiful movement of trees https://twitter.com/ZonePhysics/status/1191956317939916800/video/1 …
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Nishant Nikhil proslijedio/la je Tweet
This paper is so grim. Germany decides to phase out nuclear post-Fukushima, Power production was replaced by coal. That increases pollution, and 1,100 people die per year as a result. This compares to 0-100s of deaths from Fukushima. https://www.nber.org/papers/w26598
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- Intelligent Investor, One up on wall street (To augment how to get rich) - Black Swan and Fooled by randomness
@nntaleb (To look for another set of patterns in this world) And in fiction both Manto@nanditadas and Saaye me Dhoop are awesome.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
- The lessons of history (To save your future self from believing false claims about current events) - Deep Work (To teach your future self the value of routine and undivided attention) - How to Get Rich
@naval (To help your future self make better career decisions)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In 2020 I will read more science-fiction, history and mathematics. In 2019 I read: https://www.goodreads.com/user/year_in_books/2019/4659498 … Recommended ones: - Influence (To save your future self from getting duped) - Atomic Habits (To save your future self from over estimating self-control)
@JamesClearpic.twitter.com/kD27iDnvGH
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Nishant Nikhil proslijedio/la je Tweet
"Anti-homeless" hostile architecture, a thread. Toronto. These devices (left) keep homeless people from sleeping on the grates to avoid freezing to death (right).pic.twitter.com/3oxWOLRHJn
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Nishant Nikhil proslijedio/la je Tweet
The `git checkout` command was confusingly named and too overloaded in functionality. “How do I switch to a branch?” - checkout “How do I restore a file to a previous version?” - checkout Enter Git 2.23: - `git switch <branch>` - `git restore <file>`https://github.com/git/git/blob/master/Documentation/RelNotes/2.23.0.txt …
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Deep double descent https://openai.com/blog/deep-double-descent/ … Performance first improves, then gets worse, and then improves again with increasing model size, data size, or training time.pic.twitter.com/TAoqw0hcpQ
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AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos project video: https://www.youtube.com/watch?v=TlUxcusdTuM … arxiv: https://arxiv.org/abs/1912.04443 Humans perform task, cyclegan converts it to a video of robot performing the task which can be used as reward for model based RL
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Nishant Nikhil proslijedio/la je Tweet
12) Here's more info on when they won the IgNobel Prize: https://blogs.scientificamerican.com/scicurious-brain/ignobel-prize-in-neuroscience-the-dead-salmon-study/ … And please also read this interview with two of the authors: it's brilliant: https://boingboing.net/2012/10/02/what-a-dead-fish-can-teach-you.html … Craig Bennet is also on Twitter:
@prefrontalPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Also "Momentum Contrast for Unsupervised Visual Representation Learning" https://arxiv.org/abs/1911.05722 Two recent papers on self-supervised learning in the domain of Images.https://twitter.com/Aravind7694/status/1203856699183910913 …
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Nishant Nikhil proslijedio/la je Tweet
A seal made of steatite stone found in one of trenches in Binjor Village, Rajasthan. The site belongs to the Mature Harappan phase. Note the size of the seal in image. Such was the precision of Harappans who made such 2-3 cm square seals with beautiful animal figures. https://twitter.com/rana_Rann_sa/status/1201825100116320259 …pic.twitter.com/v8Qvx0qmHv
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It’s not just doing the research, it’s making it known. Going to workshops and conferences, visiting other labs. You don’t have to wait to be invited. You can say, “Hey, I’ll be in the area. Like me to give a talk?” Then you get to be known in the network.https://www.cifar.ca/cifarnews/2018/08/01/q-a-with-yoshua-bengio …
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Nishant Nikhil proslijedio/la je Tweet
https://www.youtube.com/watch?v=GW4s58u8PZo … A visualization of the connections between scientific papers published over the last 150 years illustrating the acceleration of knowledge. Thanks to
@farnamstreet for pointing out this one.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nishant Nikhil proslijedio/la je Tweet
1/4: The lottery ticket hypothesis suggests that by training DNNs from “lucky” initializations, we can train networks which are 10-100x smaller with minimal performance losses. In new work, we extend our understanding of this phenomenon in several ways... https://ai.facebook.com/blog/understanding-the-generalization-of-lottery-tickets-in-neural-networks …pic.twitter.com/ZXGWjBWjcz
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Nishant Nikhil proslijedio/la je Tweet
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Nishant Nikhil proslijedio/la je Tweet
The ideal life, something like: 1) enough money, no need to work 2) healthy body, confident mind 3) impact positively the lives of others 4) do what you love, every day 5) learn, grow, smile, every day 6) see people you love, often You want (1)? Start working on (2) -> (6).
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