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Did you know that you can write blog posts for
@GitHub Pages using MS Word or Google Docs, including pasting images straight into your doc, and have it all synced to GitHub and included in your blog? Here's how it's done!https://www.fast.ai/2020/01/18/gitblog/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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I've started to upload the videos for the Neural Nets for NLP class here: https://www.youtube.com/playlist?list=PL8PYTP1V4I8CJ7nMxMC8aXv8WqKYwj-aJ … We'll be uploading the videos regularly throughout the rest of the semester, so please follow the playlist if you're interested.https://twitter.com/gneubig/status/1216792330273001472 …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Favorite recent jupyter notebook discovery - the %debug magic: 1. Get an exception. 2. Insert a new cell, type %debug and run it. An interactive debugger will open bringing you to where the exception occurred and allowing you to look around!pic.twitter.com/9DSnSbpu15
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This guest lecture by
@jeremyphoward was a great watch. A very thorough overview of novel techniques essential to doing deep learning well. Awesome refresher plus I picked up a couple new things that seem extremely useful!https://www.youtube.com/watch?v=hZd3X_nGdew …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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when it comes to language and its diversity, average humans are really bad at recall, and are not very creative. beware of this.https://twitter.com/JonathanBerant/status/1165335175787683840?s=19 …
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#MLSS2019 videos are online now: https://search.videoken.com/?orgId=198#@ArthurGretton@shakir_za@Moustapha_6C@jameshensman@katjahofmann @SarahFilippi4@JCornebise@lrntzrsc@timnitGebru @KaiLashArul@KloudStrife@kn_webster@betanalpha@BeEngelhardtpic.twitter.com/gqqSBhZI17
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We studied how to view optimization as sequential decision making. Examples include tree-search, greedy & gradient-style updating. We essentially learn better local decision making to better solve the overall optimization problem. (2/3)
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Machine Learning is WAY more than just picking a model & calling .fit() or .train() on data It's a process... thinking about your problem in terms of correlation & features This step-by-step guide is an excellent intro to this process
#100DaysOfMLCode https://machinelearningmastery.com/start-here/ pic.twitter.com/mWOVsQSZAA
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I started as an assistant professor this week at
@ICatGT@gtcomputing, after a 4-month wonderful visit at@GoogleAI. My lab focuses on computational social science and natural language processing. Super excited to work with amazing colleagues and students on cool research!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@ChenhaoTan and I are excited to announce a new 3-year project funded by@NSF_CISE exploring the genealogies of online communities in@reddit and@Wikipedia. We're looking for a new Ph.D. student + organizing interviews with moderators.https://medium.com/@bkeegan/the-family-trees-of-online-communities-37c520a68c55 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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WikiMatrix: large-scale bitext extraction from Wikipedia: 1620 language pairs in 85 languages, 135M parallel sentences, Systematic evaluation on TED With
@VishravC , Shuo Sun, Hongyu and@guzmanhe Paper: https://arxiv.org/abs/1907.05791 Data: https://github.com/facebookresearch/LASER/tree/master/tasks/WikiMatrix …pic.twitter.com/IuxKoMHlFm
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Code for our paper "What Does BERT Look At? An Analysis of BERT's Attention" (https://arxiv.org/abs/1906.04341 ) has been released!https://github.com/clarkkev/attention-analysis …
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New work on scaling up VI to ImageNet. With Kazuki Osawa and
@rioyokota from TokyoTech, Siddharth Swaroop and Rich Turner@CambridgeMLG, and interns@sponde25 and Runa E. We show that VI can match Adam's performance in about the same number of epochs. https://arxiv.org/pdf/1906.02506.pdf … 1/7pic.twitter.com/v5Kfrx3Qjc
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I gathered a list of influence maximization and influence learning papers in a git page for referencehttps://bit.ly/2ZipEmP
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Unbelievable work with so many parameters.https://twitter.com/rown/status/1134130228224090112 …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Progress of samples from statistical language models. https://web.stanford.edu/~jurafsky/slp3/3.pdf … https://www.cs.utoronto.ca/~ilya/pubs/2011/LANG-RNN.pdf … https://arxiv.org/abs/1602.02410 https://arxiv.org/abs/1801.10198 https://blog.openai.com/better-language-models/ … (this is just a sample!
)pic.twitter.com/rEXIBK6qeV
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Happy that we could share
#AlphaStar progress with you all! Good Games@LiquidTLO and@Liquid_MaNa, and@Artosis and@RotterdaM08 for a great show! You can see all the details in the blog. https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/ …pic.twitter.com/51EG3fHUL1Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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