Virtual Summer School

Following our earlier announcement, due to current pandemic situation, the International Summer School on Deep Learning has been reorganized into a virtual event that will be held on the week of Aug 31st 2020. This virtual event will span over 3 days of workshops. If you have already registered for ISSonDL 2020 your registration has been preserved and applied to this virtual event – at this moment you do not have to take any action. Attendance is free of charge for both existing and new registrations!

This is a preliminary schedule. Please stay tuned for further updates!

Mon, 31.08.2020
Tue, 01.09.2020
Wed, 02.09.2020
Thu, 03.09.2020
10:00 – 11.45
Speech and AI by Amazon
1. Normalizing flows for speech modelling
2. A keynote on the recent advances in Neural-Text-To-Speech
3. Title soon
Adam Gabrys, Adam Nadolski, Amazon
Conference on AI Inference in Practice
12:00 – 13:45
Python for Machine Learning
Maciej Szankin, Intel, USA
Break
14:00 – 15.45
Machine Learning – from regression to Artificial Neural Networks
Jacek Rumiński, Gdansk University of Technology, Poland
Introduction to Explainable AI
Wojciech Samek, Germany
CV: Semantic Segmentation
Alexandr Kalinin, University of Michigan, USA
Break
16:00 – 17:45
From ANNs to Convolutional Neural Networks
Alicja Kwasniewska, Intel, USA
RNN and LSTM architectures
Alfredo Canziani, NYU Courant Institute of Mathematical Sciences, USA
CV: Instance Segmentation
Xavier Giró, UPC, Carles Ventura, UOC, Catalonia / Spain
Break
18:00 – 18:40
Applications of CNNs to medical image analysis
Krzysztof J. Geras, NYU Grossman School of Medicine / NYU Center for Data Science
Reinforcement Learning
Łukasz Kidziński, Stanford, USA
Learning to quantify
Fabrizio Sebastiani, The National Research Council, Italy
18:40 – 19:45