DeepLearn 2022 Autumn
7th International School
on Deep Learning
Luleå, Sweden · October 17-21, 2022
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IN DEEP LEARNING

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SCOPE

DeepLearn 2022 Autumn will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning.

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ADDRESSED TO

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well.

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VENUE

DeepLearn 2022 Autumn will take place in Luleå, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country.

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STRUCTURE

  • 3 courses will run in parallel during the whole event.
  • Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Full live online participation will be possible. On the other hand, lectures will be videorecorded so that participants will be able to watch them after the event for 45 days. The organizers, however, want to highlight the importance of face to face interaction and networking in this kind of research training event.

Special Sessions

OPEN SESSION

An open session will collect 5-minute voluntary presentations of work in progress by participants.

They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by October 9, 2022.

INDUSTRIAL SESSION

A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed.

People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by October 9, 2022.

EMPLOYER SESSION

Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts.

It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event.

People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by October 9, 2022.

ORGANIZING COMMITTEE

  • Nosheen Abid (Luleå)
  • Sana Sabah Al-Azzawi (Luleå)
  • Lama Alkhaled (Luleå)
  • Prakash Chandra Chhipa (Luleå)
  • Saleha Javed (Luleå)
  • Marcus Liwicki (Luleå, local chair)
  • Carlos Martín-Vide (Tarragona, program chair)
  • Hamam Mokayed (Luleå)
  • Sara Morales (Brussels)
  • Mia Oldenburg (Luleå)
  • Maryam Pahlavan (Luleå)
  • David Silva (London, organization chair)
  • Richa Upadhyay (Luleå)

QUESTIONS AND FURTHER INFORMATION

  • Mail to: david@irdta.eu
  • A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

Acknowledgments

DeepLearn 2022 Autumn

CO-ORGANIZERS

Luleå University of Technology

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • DeepLearn 2023 Winter – 8th International School on Deep Learning
Past links
  • DeepLearn 2022 Summer
  • DeepLearn 2022 Spring
  • DeepLearn 2021 Summer
  • DeepLearn 2019
  • DeepLearn 2018
  • DeepLearn 2017
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