Registration

Fees

  • Student (master or PhD student): 50€ (early bird) or 100€ (late registration)

  • Researcher (at an university or publicly funded institutes; postdoc, professors and similar positions): 100€ (early bird) or 150 (late registration)

  • Professional from a company: 250€ (early bird) or 500€ (late registration)

Early bird deadline by applying before 1st of October 2021 (AoE).

Deadline for Payment: 15th of October 2021.

Application and Registration Process

To ensure a great experience in attending the fall school, there will be an upper limit of 100 attendees. If we will receive more 100 applications by October 1st, we will close the application process. We will select attendees based on prior knowledge, achievements in the field of AutoML, and diversity aspects.

We will inform all registered attendees latest on October 15th whether they got a slot. To ensure that all slots are indeed really used, we ask to pay the registration fee latest October 15th.

APPLICATION HAS CLOSED!

Requirements

The goal of the fall school is to provide an overview over the state of the art in the field of AutoML. To get the most of the fall school, we expect that every attendee has a strong background in machine learning and deep learning, and is aware of the basics of AutoML. For the latter, we strongly recommend to watch the following chapters from our MOOC on the ai-campus.org:

  • Chapter 1: Introduction

  • Chapter 3: Hyperparameter Optimization (Videos 1-3)

  • Chapter 4 : Bayesian Optimization (Videos 1, 2 and 4)

  • Chapter 9: Neural Architecture Search I (Videos 1-3)

  • Chapter 10: Neural Architecture Search II (Videos 1 and 2)

Scholarship

We offer scholarships for 5 students. These don't have to pay the registration fee and can join for free. The distribution of the scholarships are decided by the organisation committee and is based on previous achievements in the field of machine learning, AutoML and related fields. Please indicate in the registration process whether you are interested in a scholarship.

We will inform all applicants shortly after Oct 1st whether they got the scholarship.

Technical Requirements

Since it will be a virtual school, we ask all attendees to have the following things set up and ready:

  • Webcam and microphone

  • Able to run Zoom -- the app is preferred over the web browser

  • Able to run Colab notebooks -- please check your firewall settings if nec.

Contact