Resources
Slides & Materials
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
School logos and poster
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Previous editions
Previous editions
- The first edition of the school was organised under the name Transylvanian Machine Learning Summer School (TMLSS), webpage www.tmlss.ro.
Materials
Materials
- Lab materials from the previous edition can be found here.
Reports
Reports
- Report on the motivation, description, and outcome of TMLSS.