5^th INTERNATIONAL SCHOOL ON DEEP LEARNING

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Co-organized by:

Department of Computing and Informatics

Bournemouth University

Institute for Research Development, Training and Advice – IRDTA

Brussels/London

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Early registration: October 9, 2021

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DeepLearn 2022 Winter 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. Previous events were held in Bilbao, Genova, Warsaw and Las Palmas de Gran Canaria.

Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of different environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 23 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main components of the event.

An open session will give participants the opportunity to present their own work in progress in 5 inutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

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. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2022 Winter is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

DeepLearn 2022 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be:

TBA

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

Full in vivo online participation will be possible. However, the organizers want to emphasize the importance of face to face interaction and networking in this kind of research training event.

ORGANIZING COMMITTEE:

Rashid Bakirov (Bournemouth, co-chair)

Nan Jiang (Bournemouth, co-chair)

Carlos Martín-Vide (Tarragona, program chair)

Sara Morales (Brussels)

David Silva (London, co-chair)

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he selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will get exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

ACCOMMODATION:

Accommodation suggestions will be available in due time at

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

Bournemouth University

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