Welcome to the 9th Lisbon Machine Learning School!

LxMLS 2019 will take place July 11th to July 18th at Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal. It is organized jointly by IST, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel, Priberam Labs and Feedzai.

Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018) and to watch the videos of the lectures (2011, 2012, 2013, 2014, 2016, 2017).

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
  • Lecturers are leading researchers in machine learning and natural language processing (see schedule)
  • 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. This years guide can be found here
  • 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
  • Students will be able to (optionally) show their current work in poster sessions during coffee breaks
  • In the demo day students will be able to interact with technical companies and research institutions working in machine learning
  • Welcome reception, Gala dinner, daily lunch as well as morning and afternoon coffee breaks are included in the application fee

A group photo from previous year’s attendees:
group-photo_lxmls2018

A group photo previous year’s labs team:
group-photo_lxmls2018

Sponsors:

Gold:

Bronze:

Partners: