Program

The school will be held in person, at the Milano-Bicocca University in Milan, from Monday 12th September to Friday 16th September.

Attendees are encouraged to arrive on Sunday 11th September to take part to a social event that will allow them to start meeting and engaging with the other school participants and organizers! Lunch meals and refreshments during coffee breaks will be provided throughout the week. We also have arrangements with a local hostel to provide accommodation at a discounted price for the attendees who would like to request this option.

Dates and deadlines

Applications opening date: 23th February 2022

Applications closing date: 1st April 2022

Notification of acceptance: 16th May 2022

Registrations opening date: 16th May 2022

Registration closing date: 31st May 2022

School dates: 12-16 September 2022

The deadline on each of these dates is 23:59 (AoE).

Tentative schedule

The school will be held in person. Each day will feature 2 or 3 technical lectures in the morning, followed by poster sessions and hands-on laboratories in the early afternoon and a final talk at the end of the day.

Schedule 2022 PUBLIC

Lectures:

The school will cover the following topics:

  • Foundations, including the basics of deep learning, computer vision, natural language processing, generative models and reinforcement learning;

  • Advanced topics, featuring large-scale models, graph neural networks, meta-learning and multi-task learning;

  • Applications of ML to science fields

  • Ethics and fairness

Upon speakers' approval, the lectures will be recorded and uploaded to our YouTube channel, as well as posted on our website after the school. In addition to direct in-person participation, we will use text-based platforms for questions and discussions (e.g., Slack, Sli.do).

Poster sessions: Attendees who wish to present a research poster are encouraged to indicate this in their application to the school. Accepted participants who expressed an interest in presenting a poster will be asked to provide a title and an abstract a few weeks before the school. Contextually, instructions on the poster format will also be provided. Dedicated spaces for posters will be provided at the venue.

Laboratories: Attendees will be split into smaller groups to attend the labs. The labs will consist of coding exercises, with a description of the task, some boilerplate code (data loading, preprocessing, etc, ...) already provided and some blanks to be filled in by the participants. Each group will be supervised by one or more tutors who will explain the exercises and will be there for the duration of the laboratory to answer questions and provide guidance to the participants. The participants will be encouraged to ask questions and interact with the tutors and among themselves to solve the tasks.

Sponsor booths: Diamond sponsors will be at the venue on two days to interact with the attendees, provide information on the applications of ML and AI at their company and discuss job opportunities with interested participants during coffee and lunch breaks. This is a unique opportunity to get to know them better and establish connections, so don't hold back!

Mentorship sessions: Attendees will have the possibility to attend mentorship sessions in pre-allocated time slots during the school days.

More details about lecture topics, mentorship sessions, and socialising activities will be available soon!
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