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Fascinating. I'm really surprised Google is using depthwise convs so much in their research, when it performs so badly on their TPUs. https://twitter.com/timothy_lkh_/status/1221085171212079106 …pic.twitter.com/f51mI4LPEq
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#TransferLearning is one of the most important#AI techniques I don't often recommend PhD Thesis' -@seb_ruder's is exceptional. He's a brilliant writer! Check out this taxonomy / table of contents!!!

#100DaysOfMLCode#100DaysOfCode https://ruder.io/thesis/neural_transfer_learning_for_nlp.pdf …pic.twitter.com/ZSbZSwD9DT
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I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.https://www.fast.ai/2020/01/07/data-questionnaire/ …
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TIL Google invented universal language model pre-training with BERT.pic.twitter.com/ANyi8F2UP3
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If you're interested in learning about what's coming in fastai v2, you might be interested in this overview of the key pieces. Many thanks to
@bsaeta,@clattner_llvm,@DynamicWebPaige, & all the Swift for TensorFlow team for providing this opportunity.https://youtu.be/imsBjsWLJzEHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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ML is often better in-house. APIs have to be fully general, which is a big disadvantage. For any particular task you have lots of contextual features, and you care about some types of errors and not others. If the project has high reward, a custom solution is often worth it.
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Piotr Czapla proslijedio/la je Tweet
In our forthcoming book & course, you'll learn how to build a real deep learning web app from scratch, including downloading images using Bing's API. You'll also learn what can go wrong! (h/t
@rajiinio) https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 …pic.twitter.com/p8Ur0mChXU
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NLP Year in Review — 2019 An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by
@omarsar0.https://medium.com/dair-ai/nlp-year-in-review-2019-fb8d523bcb19 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Great to see VCs being excited about NLP. Recent examples: -
@Lux_Capital's investment in@huggingface: https://medium.com/@brandon.reeves/our-investment-in-hugging-face-c8497a3519eb … -@Accel's investment in@Rasa_HQ: https://www.accel.com/interests/OurInvestmentInRasa … - "Entering the Golden Age of NLP" by@thresholdvc:https://medium.com/@thresholdvc/neurips-2019-entering-the-golden-age-of-nlp-c8f8e4116f9d …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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The GermEval 2020 shared task on "the prediction of intellectual ability and personality traits from text" was just announced on the corpora mailing list. Hopefully even the title of this has pinged your
#aiethics#ethicalCS#ethnlp problem sensors. >>Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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We're going to look back over the 20's and see the work of
@DataInstituteSF being the most significant contribution to AI in the decade. I can't think of anything cooler than working with them.https://twitter.com/math_rachel/status/1205272937852370944 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One of the best news of 2019. If some is to tackle the information overload in ML it would be them after joining fb AI.https://twitter.com/paperswithcode/status/1205595300167127040 …
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Machine Learning in a company is 10% Data Science & 90% other challenges It's VERY hard. Everything in this guide is ON POINT, and it's stuff you won't learn in an ML book "Best Practices of ML Engineering" This is a lifesaver
#100DaysOfMLCode project http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf …pic.twitter.com/eYJ5KpQmVt
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I had a chance to discuss research w/ these amazing researchers. Takeaways: 1. Too many ML papers & most are bad. 2. For PhD apps,
@lawrennd &@tdietterich look at blog & OSS too. 3. Avoid trendy topics. Work on what you believe in. 4. Research may not be applicable & it's ok.pic.twitter.com/nk5nayp0fv
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Hey Twitter data science folks! Interested about fastai and want to learn fastaiv2 along with some techniques not shown in the original lectures? Come learn with me! I’ll be running a course and study groups next semester! More info:https://forums.fast.ai/t/a-walk-with-fastai2-study-group-and-online-lectures-megathread/59929 …
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We recently found that a randomly initialized + fine-tuned BERT performs surprisingly well in 5/6 NLP tasks (80% acc for sentiment analysis!). I guess fine-tuning could be interpreted as tweaking the net so as to amplify the successful subnetwork? Paper: https://www.aclweb.org/anthology/D19-1445.pdf …pic.twitter.com/5fFvFq1bVL
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Piotr Czapla proslijedio/la je Tweet
Encoder


decoders are now part of the
transformers library!
I wrote a tutorial to explain how we got there and how to use them
https://link.medium.com/RTvKeSqo71
Bonus: a sneak peak into upcoming features
pic.twitter.com/8q1VtOMeIm
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Piotr Czapla proslijedio/la je Tweet
Interesting work! I believe that sooner than later someone will use neural networks to translate textbooks and papers into theorem prover language like lean or coq.https://twitter.com/GuillaumeLample/status/1202178956063064064 …
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Piotr Czapla proslijedio/la je Tweet
Our new paper, Deep Learning for Symbolic Mathematics, is now on arXiv https://arxiv.org/abs/1912.01412 We added *a lot* of new results compared to the original submission. With
@f_charton (1/7)pic.twitter.com/GrhQRT5WRW
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If you're interested in learning both classic and modern NLP techniques in a code first way, there's a study group for http://fast.ai 's NLP course (taught by
@math_rachel), organized through@twimlai, starting in 10 days.https://forums.fast.ai/t/remote-nlp-study-group-saturdays-at-8-am-pst-starting-12-14-2019/59399 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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