Resources

Press releases

  • School starts on Monday July 1st. (Romanian, English) -- posted June 30th 2019
  • Applications period is open (Romanian, English) - posted on February 12, 2019

Slides & Materials


  • Razvan Pascanu, Introduction to Deep Learning [pdf]
  • Doina Precup, Introduction to Reinforcement Learning part I [pdf]
  • Doina Precup, Introduction to Reinforcement Learning part II [pdf]
  • Diana Borsa, RL practical session [pdf]
  • Dmitry Vetrov, Bayesian Learning [pdf]
  • Shimon Whiteson, Multi-agent Reinforcement Learning [pdf]
  • Andrew Zisserman, Self-supervised learning [pdf]
  • Marius Leordeanu, Keynote on behalf of the hosts [ppt]
  • Antoine Bordes, Machine Reading and Question Answering [ppt]
  • Razvan Pascanu, From RNNs to Transformer [pdf]
  • Anca Dragan, RL/Planning + Humans [pdf]
  • Tinne Tuytelaars, Continual Learning [pdf]
  • Mihaela Rosca, Unsupervised practical session [pdf]
  • Viorica Patraucean, Computer Vision practical session [pdf]

School logos and poster

logo_eeml_black

logo_eeml_white_transparent_bkg

Poster_EEML2019 (1).pdf

Previous editions

  • The first edition of the school was organised under the name Transylvanian Machine Learning Summer School (TMLSS), webpage www.tmlss.ro.

Materials

  • Lab materials from the previous edition can be found here.

Reports

  • Report on the motivation, description, and outcome of TMLSS.