See our online lectures here on Youtube. No registration fee. Everyone is welcome.
The application portal has closed on 12 February 2020 at noon (Central European Time). Thank you all for applying to the MLSS 2020.
All participants of the MLSS 2020 are subject to rigorous screening. The selection process is competitive and will be based on the submitted documents. The requested documents include but not limited to the following items:
- Your curriculum vitae (CV)
- Title and abstract of the poster to be presented at MLSS 2020 (see below)
- For student applicants, we require support from your supervisor. We will provide a separate form for your supervisor to fill out.
Application period has started. There is no fee for applying to MLSS 2020.
Everyone is welcome to apply to MLSS 2020 (the deadline has passed). We aim to select 180 strongly motivated participants. Our primary target audience is early-mid stage PhD students with good technical background whose research topics are related to machine learning. Small numbers of industry practitioners, researchers, professors, exceptional master's students, and exceptional bachelor's students will also be considered, subject to space and availability. Industrial applicants can also obtain tickets via industry sponsorship.
All participants are expected to be familiar with programming in Python, be enthusiastic about machine learning, be familiar with linear algebra, basic calculus, and basic probability and statistics. To get a sense of the level of technicality of the lectures, check the recorded video lectures from MLSS 2017 here.
The MLSS 2020 will be a virtual event. There is no registration fee.
Posters are a long-standing tradition at the MLSS. For the first time, the MLSS 2020 will be a virtual event. Each applicant will present their poster online. The content of the poster does not need to be from published work (ongoing work, or work resulting from undergraduate projects is also fine). While the day program covers broad areas of general interest, the poster sessions offer participants a chance to discuss their own work with their peers. The poster presentations will be a relaxed affair.