Programme

Below you will find the programme schedules for both days of the summer school.

 

Thursday, 29 August 2019

 

Time slot Session Topic Speaker
09:00 - 10:30 0 Introduction to Deep Learning Tim Rocktäschel
11:00 - 12:30
14:00 - 15:30
1 Neural Representation Learning Hinrich Schütze
16:00 - 19:00 1A Practical Session*
General introduction to PyTorch:
Hands-on material on embeddings
and how pre-trained embeddings
can improve models for NLP
Heike Adel
19:00 - 20:00 - Informal Poster Session -

 

 

Friday, 30 August 2019

 

Time slot Session Topic Speaker
09:00 - 10:30
11:00 - 12:30
2 Latest topics in Representation
Learning
Kyunghyun Cho
14:00 - 15:00 2A Practical Session*
Sense/synset embeddings and
graph enrichment methods
Alexander Popov
15:00 - 17:00 2B Practical Session*
Sequence labelling and tagging
Omid Rohanian,
Shiva Taslimipoor
17:30 - 19:00 3 Application of Deep Learning in NLP Marek Rei

 

* All practical sessions will be conducted using the PyTorch deep learning toolkit.

Requirements

For the practical sessions, we require that participants provide their own laptop to work on. In addition, each participant should be familiar with the basics of the programming language Python, as the sessions will be based heavily around PyTorch.