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An arXiv overlay journal is one where the articles are not hosted by the journal itself but simply live on arXiv. That doesn't mean they are "just preprints" -- they are refereed in the usual way and are prepared using a style file.
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Using fairseq and finding it difficult to debug your model because pdb does not work with multiprocessing? Suffer no more and discover fairseq's pdb wrapper: "from fairseq import pdb; pdb.set_trace()" . Find more athttps://github.com/pytorch/fairseq/blob/master/fairseq/pdb.py …
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The 3rd edition of our
@UPCTelecos MSc course on Deep Learning for Artificial Intelligence kicks off this Monday. Once again, an extraordinary amount of registered students (52), a 100% growth since 2017.@DAT_upc@JosepPegueroles@RectorUPC http://bit.ly/dlai2019 pic.twitter.com/ypJcSCU0b4
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It was great working on this project during my internship at
@SFResearch, and our paper has now been accepted at#NeurIPS2019! Paper: http://arxiv.org/abs/1906.02341 Code: http://github.com/victorcampos7/weightnorm-init … https://twitter.com/JordiTorresAI/status/1169170363642761217 …Tweet je nedostupan.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Only a weekend after
@ACL2019_Italy, there are already awesome reviews available on various topics: - Trends in NLP by@mihail_eric https://www.mihaileric.com/posts/nlp-trends-acl-2019/ … - Knowledge graphs by@michael_galkin https://medium.com/@mgalkin/knowledge-graphs-in-natural-language-processing-acl-2019-7a14eb20fce8 … - MT by@noecasas http://noecasas.com/post/acl2019/
#acl2019nlpHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Are you doing NMT and are curious about what interesting things were presented at
#acl2019nlp ? Check out my summary athttp://noecasas.com/post/acl2019/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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In
#acl2019nlp Latent Structure Models tutorial, we showed a slightly diff. justification for Straight-Through and SPIGOT as adding pseudo-supervision w/ perceptron loss btw. latent var & a "pulled-back" label, induced from downstream loss. Tech note: https://arxiv.org/abs/1907.10348Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@licwu kicking off our tutorial on unsupervised cross-lingual learning@ACL2019_Italy#acl2019nlp Slides: https://tinyurl.com/xlingual pic.twitter.com/sjAoEFFcOR
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If you are
@la_UPC Barcelona and want to dive into deep learning, you can already apply to our undergraduate school@UPCTelecos between 22-28 January 2020. Third edition
https://telecombcn-dl.github.io/idl-2020/
Instructors: @noecasas@costajussamarta@Javier_RuizHida @ramonmorros & myselfpic.twitter.com/N9kRVwaSTR
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If you are
@la_UPC Barcelona, you should sign up for our@UPCTelecos MSc course on Deep Learning for AI. 3rd edition, better, stronger and, obviously, deeper than ever. Welcoming@AlbertPumarola from@IRI_robotics as instructor
http://bit.ly/dlai2019 pic.twitter.com/uMINXnZO5s
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imho https://arxiv.org/abs/1905.10453 didn't receive the attention it should have: 1st-order msg: If you are using 32k BPE tokens for Transformer you can't claim "a strong baseline". 2nd-order: you can't carry hyperparamters best practice across models (LSTM -> Transformer)
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RL methods for MT (MRT, GANs and REINFORCE) might not get their performance boost from actually improving translations. Moreover, there are no convergence guarantees for MRT. For these practical and theoretical (first for MRT?) results. Our new Preprint https://arxiv.org/pdf/1907.01752.pdf …
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El @BSC_CNS será sede de uno de los grandes superordenadores europeos. La UE podría aportar cerca de 100 millones€ para MareNostrum 5, la inversión más alta en una infraestructura de investigación en España https://www.bsc.es/Zxi@astro_duque@ComisionEuropea@CienciaGobpic.twitter.com/r322UNOA3z
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So proud of
@devonzuegel and team for launching GitHub Sponsors: a first step in a long journey towards providing financial infrastructure for developers. https://github.com/sponsors pic.twitter.com/BHjehbVNOR
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Happy to (finally) share SciHive - arXiv on steroids
✓ Rank trending papers by Twitter
✓ Comment and ask questions on papers
✓ Collaborate within a group
✓ Save private notes
✓ View table of contents
✓ Preview references
✓ Open source
https://www.scihive.org/ pic.twitter.com/xmE1acQDnTHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This behaviour is now present in fairseq : https://github.com/pytorch/fairseq/pull/673 …https://twitter.com/Thom_Wolf/status/1106300583835766786 …
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1/ Let me share my "Deep Architectures" slides, where I make a review of different basic architectures (FC, CNN, RNN/LSTM) and their compositions (QRNNs, AEs, Skip connections, Deep classifiers, GANs, ...): http://tinyurl.com/deeparchs pic.twitter.com/uz5YZavZSV
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La mayoría de jóvenes investigador@s trabajamos en condiciones de precariedad laboral. Que los gobiernos maquillen un presupuesto con triquiñuelas contables y préstamos irrealizables mientras otras pasamos penurias para investigar es un insulto.https://twitter.com/eldiarioes/status/1115247508970774529 …
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Excited to hold this course again in beautiful San Sebastian, this time with an invited talk by
@DocXavi Please inform anyone that might be interestedhttps://twitter.com/olatz87/status/1108758938013626369 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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tf.summary.text (or writer.add_text for TensorboardX)
You'll be able to check each experiment's full configuration in the "text" tab of tensorboard.