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X-WR-CALDESC:20 Years Defining Technology
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SUMMARY:11th Lisbon Machine Learning Summer School
DESCRIPTION:LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST) ( http://tecnico.ulisboa.pt/en/ ), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações ( http://www.it.pt/ ), the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID) ( http://www.inesc-id.pt/ ), Unbabel ( https://unbabel.com/ ) and Cleverly ( http://cleverly.ai ).\nClick here for information about past editions (LxMLS 2011 ( http://lxmls.it.pt/2011/Home.html ), LxMLS 2012 ( http://lxmls.it.pt/2012/Home.html ), LxMLS 2013 ( http://lxmls.it.pt/2013/ ), LxMLS 2014 ( http://lxmls.it.pt/2014/ ), LxMLS 2015 ( http://lxmls.it.pt/2015/ ), LxMLS 2016 ( http://lxmls.it.pt/2016/ ), LxMLS 2017 ( http://lxmls.it.pt/2017/ ), LxMLS 2018 ( http://lxmls.it.pt/2018/ ), LxMLS 2019 ( http://lxmls.it.pt/2019/ ), LxMLS 2020 ( http://lxmls.it.pt/2020/ )) and to watch the videos of the lectures (2016 ( https://www.youtube.com/playlist?list=PLToLj8M4ao-fymxXBIOU6sF1NGFLb5EiX ), 2017 ( https://www.youtube.com/playlist?list=PLToLj8M4ao-fuRfnzEJCCnvuW2_FeJ73N ), 2018 ( https://www.youtube.com/playlist?list=PLToLj8M4ao-cVzDgike8A5_FSvoqYSqik ), 2020 ( https://www.youtube.com/c/LxMLSLisbonMachineLearningSchool )).\n \nCall for Participation\nImportant Dates—————* Application Deadline: May 15, 2021* Decision: June 1, 2021* Early Registration: June 15 – July 1, 2021* Summer School: July 7 – 15, 2021Topics and Intended Audience—————\nThe school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.\nOur target audience is:\n\nResearchers and graduate students in the fields of NLP and Computational Linguistics;\nComputer scientists who have interests in statistics and machine learning;\nIndustry practitioners who desire a more in depth understanding of these subjects.\n\nFeatures of LxMLS:\n\nNo deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming\nLecturers are leading researchers in machine learning and natural language processing (see speakers)\nDays are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)\nThe Labs guide will be provided one month in advance. Last year’s guide can be found here ( http://lxmls.it.pt/2020/LxMLS_guide_2020.pdf )\nA day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises\nBoth basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered\n\nOnline Format:\nDue to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.\nList of Confirmed Speakers—————\nLUIS PEDRO COELHO Fudan University | ChinaMÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | PortugalANDRE MARTINS Instituto de Telecomunicações & Unbabel | PortugalIRYNA GULEYVICH Technical University Darmstat | GermanyNOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USASLAV PETROV Google Inc. | USAXAVIER CARRERAS dMetrics | USAGRAHAM NEUBIG Carnegie Mellon University | USABHIKSHA RAJ Carnegie Mellon University | USACHRIS DYER Google Deep Mind | UKELIAS BARENBOIM Columbia University | USAADELE RIBEIRO Columbia University | USASTEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | GermanyBARBARA PLANK IT University of Copenhagen | DenmarkSASHA RUSH Cornell Tech | USA\nPlease visit the webpage for up to date information: http://lxmls.it.pt/2021 ( http://lxmls.it.pt/2021 )To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/ ( https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/ )Any questions should be directed to: lxmls-2021@lx.it.pt ( mailto:lxmls-2021@lx.it.pt ).\n
URL:https://www-devel.inesc-id.pt/events/11th-lisbon-machine-learning-summer-school/
CATEGORIES:Events
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