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Rich Pavlovskiy proslijedio/la je Tweet
you send her flowers, i prove her theorems. we are not the same.
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Rich Pavlovskiy proslijedio/la je Tweet
The days on Mars were 39 minutes longer than the days on Earth. Those minutes got their own place on the clock. “Martian time,” between 11:59 and midnight, was supposed to be spent alone in quiet reflection. On that empty red planet, comfort in loneliness was part of the culture.
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There is/should be a paradox that states that we will never know if we have created a true AGI. Does anyone have an idea of how to prove it or maybe it’s name?
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Rich Pavlovskiy proslijedio/la je Tweet
Perplexity for a language model, by definition, is computed by first averaging all neg log predictions and then exponentiating. Does that help explain?https://towardsdatascience.com/perplexity-intuition-and-derivation-105dd481c8f3 …
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Rich Pavlovskiy proslijedio/la je Tweet
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping pdf: https://arxiv.org/pdf/1912.13457.pdf … abs: https://arxiv.org/abs/1912.13457 pic.twitter.com/8LdDtaT8yC
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Rich Pavlovskiy proslijedio/la je Tweet
It just makes economic inequality more persistent if, while rich kids are being taught the recipe for wealth, https://twitter.com/paulg/status/1109897564973871106 … you tell poor kids it's impossible to become rich except by being a crook: https://twitter.com/RBReich/status/1220481483002937344 …
Tweet je nedostupan.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rich Pavlovskiy proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Rich Pavlovskiy proslijedio/la je Tweet
I prepared a new notebook for my Deep Learning class: Joint Intent Classification and Slot Filling with BERT: https://nbviewer.jupyter.org/github/m2dsupsdlclass/lectures-labs/blob/master/labs/06_deep_nlp/Transformers_Joint_Intent_Classification_Slot_Filling_rendered.ipynb … This a step by step tutorial to build a simple Natural Language Understanding system using the
@snips voice assistant dataset (English only).Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rich Pavlovskiy proslijedio/la je Tweet
me in the audience cheering my friends on as they give cool academic talks in fields I don’t know anything aboutpic.twitter.com/05CbxFn38i
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Rich Pavlovskiy proslijedio/la je Tweet
I finished listening to the epic 5 hour 80k podcast with David Chalmers. I was dreading this since I knew I disagreed with Chalmers on many things but wow was I wrong! This was a phenomenal discussion that really got me PUMPED for philosophy again! (1/5)https://80000hours.org/podcast/episodes/david-chalmers-nature-ethics-consciousness/ …
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Rich Pavlovskiy proslijedio/la je Tweet
Bayesian methods are *especially* compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization, not the prior, or Bayes rule. This difference will be greatest for underspecified models like DNNs. 1/18https://twitter.com/carlesgelada/status/1208618401729568768 …
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found a pretty neat blog of Agustinus Kristiadi with some thorough explanations of advanced ML topics: https://wiseodd.github.io/techblog/ *I was looking for well explained connection between KL-divergence and log-likelihood(https://wiseodd.github.io/techblog/2017/01/26/kl-mle/ …)
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Rich Pavlovskiy proslijedio/la je Tweet
Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere. We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop. But why? So we can—talk. Thus chimpanzees can do this—we can’t:pic.twitter.com/CDznxg37p1
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Rich Pavlovskiy proslijedio/la je Tweet
Many if not most "luxury brands" prey upon people who have lots of money but don't know how to live, and hope they can use cost as a sort of compass to guide them to the good life.
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Rich Pavlovskiy proslijedio/la je Tweet
The effect can now handle collisions and multiple photos
#madewithunity#gamedev#vfx#polaroidpic.twitter.com/NXKt8KGIcZPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rich Pavlovskiy proslijedio/la je Tweet
Classifiers are secretly energy-based models! Every softmax giving p(c|x) has an unused degree of freedom, which we use to compute the input density p(x). This makes classifiers into generative models without changing the architecture. https://arxiv.org/abs/1912.03263 pic.twitter.com/IzMPxiNxFQ
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Juergen Schmidhuber did a pretty cool AMA in 2015
Some one was asking about attention and rnn, boy oh boyhttps://www.reddit.com/r/MachineLearning/comments/2xcyrl/i_am_j%C3%BCrgen_schmidhuber_ama/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rich Pavlovskiy 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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Rich Pavlovskiy proslijedio/la je Tweet
y’all arguing over work ethic is boring. u should cycle dif amphetamines and never sleep, aiming for continuous dopamine drip feed to the brain whilst reading every word of the internet. once achieved, move to log cabin in german forest & do math all day, weekends at berghain
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Rich Pavlovskiy proslijedio/la je Tweet
Several people asked which essays are my favorites: http://paulgraham.com/hs.html http://paulgraham.com/essay.html http://paulgraham.com/marginal.html http://paulgraham.com/jessica.html http://paulgraham.com/lies.html http://paulgraham.com/wisdom.html http://paulgraham.com/wealth.html http://paulgraham.com/re.html http://paulgraham.com/say.html
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