Registration

Registration is now closed. We thank all the applicants for their interest in the school. The results of the application process will be announced on 28th April 2023.

Registration process in short

1) Submit your extended abstract: Openreview

2) Submit your personal information: Application form

All the information about the registration process and how to prepare your submission can be found below on this page.

Application instructions

The application process closes on 8th April 2023 11:59PM AOE (Anywhere on Earth) 9:59 PM UTC-0 on Tusday 11th April 2023. Please read the information below and fill in the forms linked on this page. Remember that the registration process includes a required extended abstract submission, so get started well ahead of time. If this page doesn’t include all the information you need, please send your questions to mlss@mlinpl.org, we will answer as soon as possible and add the missing information to the Frequently Asked Question section at the bottom of this page. The application process for MLSS^S is based on the one from the EEML summer school https://eeml.eu. We kindly thank the organizers of EEML for sharing their expertise with us. The school welcomes applications from candidates all over the world, regardless of whether they are students or not. The lectures will be targeted at the audience with the familiarity of Machine Learning at the level of an early-stage graduate student (Masters or PhD), but don’t let this statement stop you from applying if you’re interested in attending!

Timeline

  • 11:59 PM AOE (Anywhere-on-Earth) Saturday 8th April 2023 9:59 PM UTC-0, Tusday 11th April 2023 - Registration closes
  • 28th April 2023 - Results announced
  • 28th April 2023 - 16th May 2023 - Time to pay the registration fee (if your application is accepted)
  • 16th May 2023 - Final confirmation of participation

Costs

Participation fee: 250 Euro.

Includes participation in the summer school, all the program events, and coffee and lunch breaks every day, as well as a welcome and goodbye party on Monday and Friday afternoons. Other than that, it does not include any substantial food provision (i.e., breakfast, lunch or dinner).

Estimated costs (on the higher end of the spectrum):

  • Participation fee: 250 Euro
  • Accommodation in a hostel: 1 person room 250PLN/night, 2 people room 175PLN/person/night
  • Food: 150PLN/day
  • Entertainment: 300PLN
  • Public transport: 60PLN

Scholarship

We will provide a limited number of scholarships that are intended to support diversity and enable participation for applicants who otherwise wouldn’t be able to take part due to their financial situation. The scholarships will be allocated based on a combination of merit and diversity criteria.

You can apply for the scholarship as part of the application form linked at the bottom of this page.

The scholarship includes reimbursement of the following costs up to the total of 4970PLN:

  • Participation fee (includes coffee breaks every day)
  • Accommodation
  • Travel

Application process

To apply for the summer school, you will need to provide the following information:

  • Personal information (name, contact, affiliation, etc.)
  • A brief history of your education / employment
  • A short statement of research interests, a few sentences (max 2000 characters, but don’t feel pressured to use all available space): describe your research interests, projects related to ML you worked on or would like to work on, and motivation for attending the summer school.
  • An extended abstract on (choose ONLY ONE):
    1. [Research] Your own project related to Machine Learning or Computational Science OR
    2. [Reproduction] A project reproducing the results of a paper published by someone else in a top conference or journal in ML or applied ML (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP, TPAMI, JMLR, Nature, Nature Communications, Science, Science Advances, PNAS) in the past 3 years, OR
    3. [Review] A review of 3 related research papers on an ML or applied ML topic of your choice (e.g., 3 papers on continual learning, or 3 papers on attention models, etc.), published by other authors in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP, TPAMI, JMLR, Nature, Nature Communications, Science, Science Advances, PNAS).

Notes regarding the extended abstract

  • Since the number of people who can attend the summer school in person is limited, we will only be able to accept selected applications. The extended abstract will be the most important factor in this decision. Submission of the extended abstract is handled through OpenReview, a system enabling double-blind review of the submissions.
  • We provide three options for the extended abstract to make sure that the selection process is accessible to anyone, irrespective of the level of expertise in Machine Learning. We will assess the applicant’s interest in the field, not just expertise in these topics.
  • The extended abstract can be structured as a short paper, i.e., it can have sections (e.g., Intro, Method, Experiments, References, etc.), and it can include images, figures, tables, etc.
  • The extended abstract must not exceed two pages, excluding references.
  • Submissions are double blind: author(s) names and affiliations should not appear in the PDF.
  • It is possible to submit the extended abstract of a research paper that you’ve already published (from 2018 onward); this falls under option [Research]. Summarise your paper to respect the page limit, and if you are not the only author, include a brief description of your contribution in the pdf document.
  • Use whatever layout and editor you prefer; e.g., for latex, you could use NeurIPS format and Overleaf editor. We accept multiple applicants (normally 2) with the same extended abstract for options [Research] and [Reproduction], provided that all the applicants contributed considerably to the work. In your extended abstract, include a brief description of your contribution to the project. Note that the selection decision takes into account several factors, not only the abstract. Hence it can differ for candidates with the same abstract.
  • All documents must be submitted in PDF format.

Hints for writing the extended abstract:

For option [Research], it is fine if the work is in incipient stages and you only have preliminary results. This is a non-archival submission; you can submit your work to any other venue as well.

For option [Reproduction], please also include, if possible, your own observations about the paper, e.g., analysis of robustness, was the paper difficult to reproduce given the details in the paper; most important tricks in implementation, etc.

For option [Review], consider reviewing works that have some aspects in common, so that you can compare them and highlight their pros and cons.

In your OpenReview application, please add the type of your extended abstract (one of: research, reproduction, or review) in the “keywords” section.

Evaluation criteria

Research abstract:

  • Clarity of presentation (good writing, includes figures, etc)
  • Relevance for the school theme (this includes work in any of the domains touched by the summer school: from core machine learning & computer vision to core neuroscience, and everything in between)
  • Properly contextualising the work within the literature (briefly discussing related work)
  • Experiments if any, interpretation of the results, and conclusion
  • (bonus) Novelty

Reproduction:

  • Clarity of the description of the paper reproduced
  • Understanding of the paper reproduced
  • Clear description of the reproduction setting / implementation
  • Discuss the results of the reproduction
  • Comments on the difficulty of reproducing results / criticisms
  • (bonus) Further exploration of the method, e.g., robustness to hyper-parameters, additional evaluation on a different dataset, etc.

Review:

  • Clear description of the reviewed papers
  • Understanding of the reviewed papers
  • Comparison between the 3 papers, highlighting the differences, considering the advantages and downsides of each
  • (bonus) Additional interpretation / insights about the works, or re-interpretation of one of the works in the light of the other

1) Link to OpenReview: Openreview

2) Link to the application form: Application form

Frequently Asked Questions

We will fill this section with questions we receive and our answers.

Q: Is it safe to be in Kraków right now given the Russian invasion of Ukraine?
A: Yes, as of now, the situation in Poland is completely safe!

Q: Can I receive an invoice for the registration fee?
A: Yes, when paying the registration fee through the Evenea platform, select “I want to receive an invoice” and provide the required information.

Q: Can I get a refund of the registration fee if I’m not able to attend the school?
A: Yes, refunds of the registration fee are possible and will be considered if a justifiable reason is provided (e.g., health issues or unexpected personal circumstances). Refund requests must be submitted no later than one month before the event, otherwise, due to the organization costs already incurred (catering and venue services), we will not be able to provide a refund.