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Call for Participation
LxMLS 2023 - 13th Lisbon Machine Learning School
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We invite everyone interested in Machine Learning and Natural Language 
Processing to attend the 13th Lisbon Machine Learning School - LxMLS 2023.

Important Dates
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* Application Deadline: April 28, 2023
* Notification of Admission: May 12, 2023
* Early registration: May 12 - June 30, 2023
* Summer School: July 14 - 20, 2023


Topics and Intended Audience
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The 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.

Our target audience is:
* Researchers and graduate students in the fields of NLP and Computational 
Linguistics;
* Computer scientists who have interests in statistics and machine learning;
* Industry practitioners who desire a more in depth understanding of these 
subjects.

Features of LxMLS:
* No deep previous knowledge of ML or NLP is required, but the attendants are 
assumed to have some basic background on mathematics and programming;
* Days are divided into morning lectures and afternoon lab sessions and 
practical talks (see schedule);
* The Labs guide will be provided one month in advance. Last year's guide is 
available on the website.
* The first day is scheduled to review basic concepts and introduce the 
necessary tools for implementation exercises
* Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning 
and transformers) will be covered
* Welcome reception, Banquet, daily lunch as well as morning and afternoon 
coffee breaks are included in the application fee
* Lecturers are leading researchers in machine learning and natural language 
processing

List of Confirmed Speakers
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ADÈLE H. RIBEIRO Columbia University | USA
ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal
BHIKSHA RAJ Carnegie Mellon University | USA
DESMOND ELLIOTT University Of Copenhagen | Denmark
KYUNGHYUN CHO New York University | USA
MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal
NOAH SMITH University of Washington & Allen Institute for Artificial 
Intelligence | USA
SARA HOOKER Cohere for AI | Canada
SLAV PETROV Google Inc. | USA
WILKER AZIZ University Of Amsterdam | Netherlands
YEJIN CHOI University of Washington | USA


Please visit our webpage for up-to-date information: http://lxmls.it.pt/2023/
Apply here: https://lisbonmls.wufoo.com/forms/application-form-lxmls-2023/
Any questions should be directed to: [email protected]

We are looking forward to your participation!

-- The organizers of LxMLS'2023.
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