Schedule

The schedule is subject to change – we are working on finalizing it.

International Summer School on Deep Learning 2021 will be accompanied by a hackathon – please stay tuned for more information!

CEST
Mon July 5th 2021
Tue July 6th 2021
Wed July 7th 2021
Thu July 8th 2021
Fri July 9th 2021
11:45
Opening Ceremony
11:45-12:00
      Conference on AI Inference in Practice
12:00
Introduction to Deep Convolutional Networks
12:00-13:30
Jacek Ruminski, Gdansk University of Technology, Poland
Object Detection and Deep Learning
12:00-13:30
Xavier Giro Nieto, Carles Ventura-Royo, Universitat Politècnica de Catalunya, Spain
   
12:45
Multi-target predictions
12:45-13:30
Dimitrios Iliadis
Keynote: Autonomous Driving and Robotics
12:45-13:30
Kang-Hyun Jo, University of Ulsan, Korea
13:30 – 14:00 Virtual Coffee Break
14:00
Introduction to Deep Learning: from Data to Solution, part 1
14:00-15:30
Alicja Kwasniewska, SiMa.ai, USA; Maciej Szankin, Intel AI Lab, USA
Image Segmentation & Deep Learning
14:00-15:30
Alexandr Kalinin, Shenzhen Research Institute of Big Data, China, University of Michigan, USA
Variational Autoencoders
14:00-15:30
Alfredo Canziani, NYU Courant Institute of Mathematical Sciences, USA
Inference on Mobile Platforms
14:00-15:30
Tomasz Kocejko, Gdansk University of Technology, Poland
15:30 – 16:00 Virtual Coffee Break
16:00
Introduction to Deep Learning: from Data to Solution, part 2
16:00-17:30
Alicja Kwasniewska, SiMa.ai, USA; Maciej Szankin, Intel AI Lab, USA
Deep Neural Networks Enable Movement Analysis
16:00-17:30
Lukasz Kidzinski, Stanford, USA
Introduction to NLP
16:00-17:30
Arushi Raghuvanshi, Infinitus Systems, USA
TBA
16:00-17:30
Krzysztof Kwasniewski, Google, Poland
17:30 – 18:15 Virtual Lunch/Dinner Break
18:15
Practical Applications of CNNs in Medical Imaging
18:15-19:45
Krzysztof Geras, NYU School of Medicine, USA
Introduction to Generative Adversarial Networks in Computer Vision
18:15-19:45
Sebastian Raschka, University of Wisconsin-Madison, USA
Transformers
18:15-19:45
Alfredo Canziani, NYU Courant Institute of Mathematical Sciences, USA
Keynote: Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition
18:15-19:00
Sebastian Raschka, University of Wisconsin-Madison, USA
19:00
DNN optimization with Tensor Vector Machine
19:00-20:30
Mikael Sevenier, SiMa.ai, USA
ISSonDL Closing ceremony and certificates
19:00-19:45
19:45
Social Event #1
19:45-20:30
Gdansk Sightseeing
19:45-20:45
Social Event #2
19:45-20:30
20:30

The Digitial Innovation Hub: DIH4.AI is supported by Polish Ministry of Economic Development under the program Industry 4.0 (Standaryzacja usług Hubów Innowacji Cyfrowych dla wsparcia cyfrowej transformacji przedsiębiorców” (2019-2021), projekt w konsorcjum Politechnika Gdańska i VoiceLab).

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