[AllUsers-ISR] Last Call for Applications to the Lisbon Machine Learning School LxMLS 2021 - Deadline is May 15th
Aníbal T. de Almeida
adealmeida at isr.uc.pt
Tue May 11 13:15:04 WEST 2021
Excelente oportunidade, sobretudo para os alunos de doutoramento.
-------- Forwarded Message --------
Subject: Last Call for Applications to the LxMLS 2021 - Deadline is May
15th
Date: Tue, 11 May 2021 08:53:00 -0000
From: Carnegie Mellon Portugal Program <info at cmuportugal.org>
Reply-To: info at cmuportugal.org
To: adealmeida at isr.uc.pt
The School will be held online from July 7th to 15th
The School will be held online from July 7th to 15th
<https://t.e2ma.net/click/1zru3d/xw6s46/1b1x5q>
*Call for Participation (deadline May 15):
LxMLS 2021 - 11th Lisbon Machine Learning School*
The CMU Portugal Program, as one of the event´s partners, is happy to
invite everyone interested in *Machine Learning and Natural Language
Processing* to attend the *11th Lisbon Machine Learning School - LxMLS
2021 <https://t.e2ma.net/click/1zru3d/xw6s46/h41x5q>. *This year the
school will be fully virtual and free for students.
*
Important Dates
---------------*
* *Application Deadline: May 15, 2021 (less than one week from now)*
* Decision: June 1, 2021
* Early Registration: June 15 - July 1, 2021
* Summer School: July 7 - 15, 2021
*Topics and Intended Audience
---------------*
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.
The 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.
* A day zero 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, reinforcement learning) will be covered
* Lecturers are leading researchers in machine learning and natural
language processing
Online Format:
Due 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.
*
List of Confirmed Speakers
---------------*
LUIS PEDRO COELHO Fudan University | China
MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior
Técnico | Portugal
ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
IRYNA GULEYVICH Technical University Darmstat | Germany
NOAH SMITH University of Washington & Allen Institute for Artificial
Intelligence | USA
SLAV PETROV Google Inc. | USA
XAVIER CARRERAS Artificial Intelligence Research Institute, CSIC | Spain
GRAHAM NEUBIG Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
CHRIS DYER Google Deep Mind | UK
ELIAS BARENBOIM Columbia University | USA
ADELE RIBEIRO Columbia University | USA
STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg |
Germany
BARBARA PLANK IT University of Copenhagen | Denmark
SASHA RUSH Cornell Tech | USA
Please visit the event oficial page for up to date information:
http://lxmls.it.pt/2021 <https://t.e2ma.net/click/1zru3d/xw6s46/xw2x5q>.
To apply, please fill the form in
https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
<https://t.e2ma.net/click/1zru3d/xw6s46/dp3x5q>
Any other questions should be directed to: lxmls-2021 at lx.it.pt.
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