FAQ

  1. Who can apply to the school? Is the school open to only students? Is the school open to only Eastern European students?

    • Everyone is welcome to apply, regardless of location or whether you are a student or not. We strive to have participants with diverse backgrounds to encourage networking between academic and industry communities from all over the world. The location of the summer school is tied to Eastern Europe to raise visibility of the local Machine Learning community. But we are looking for participants coming from any region of the world.

  2. I've attended the previous edition of the school (EEML2021, EEML2020, EEML2019, or TMLSS2018). Can I apply again?

    • The selection will favor candidates who didn't attend the school before, but this is not a hard rejection rule. You can still be accepted if your application is good.

    • The 2022 edition will be hybrid. Because of the ongoing pandemic, the number of places for in-person attendance will be limited, but the selection decision will not be influenced by your participation in previous editions.

  3. What is the required level of knowledge in Machine Learning to apply for this school? I am a beginner in Machine Learning. Can I still apply?

    • Participants are expected to:

      • have experience in programming (preferably Python); knowledge of any modern framework for neural networks (TensorFlow, Keras, Theano, PyTorch, JAX, etc.) will come in handy though it is not strictly necessary;

      • be familiar with notions of Linear Algebra, Probability Theory, general Machine Learning;

      • be very interested in learning about Deep Learning and Reinforcement Learning.

  4. What programming language will be used during the labs?

    • Python together with a Deep Learning library (e.g. Jax, PyTorch).

  5. What environment will be used to run the experiments at the labs?

    • The experiments will run in Colab - a framework provided by Google where you can access for free the Google cloud (CPU or GPU) to run ML experiments. You can use Colab on your own as well, independent from the school. All you need is a gmail account.

  6. Who can apply for travel grants? Are travel grants available only for students?

    • If you are interested in the topics of the summer school but the fees might prevent you from attending, please apply for a travel grant. These are open to everyone, not only students. When submitting your application, please give a short justification for your request. The funding will vary on a case-by-case basis and will cover fully or partially the costs of attending the school (registration, accommodation, travel).

    • Travel grants are offered on financial considerations only, not on merit.

    • Because of the ongoing pandemic and the uncertainty regarding in-person events, we will not be offering travel grants for participants to attend the school. For those who, nonetheless, wish to travel to Vilnius for the hybrid part of the school (11-14 July), we will make arrangements with the Vilnius University to provide dorm accommodation at discounted price. We will also provide lunches and refreshments during coffee breaks.

  7. What will I gain from attending this school?

    • During the school, participants will be exposed to both fundamental and advanced topics related to machine learning. By the end of the school, participants are expected to:

      • be familiar with terminology used in the field (e.g., BPTT, off/on policy, etc.);

      • have a good understanding of basic and some more advanced notions in Deep Learning and Reinforcement Learning;

      • understand what are the open questions in the field and what are the emergent topics;

      • be exposed to some of the theoretical underpinnings and latest developments in the theoretical study of deep neural networks;

      • be familiar with commonly-used neural networks;

      • understand good practices for setting up learning experiments (e.g., getting baselines, hyper-param tuning, etc.);

      • be able to design, train and test a neural network for a specific task using TensorFlow;

      • be able to analyse and diagnose network behaviour (e.g., overfitting).

    • The school will offer the opportunity to gain visibility and network with peers and top researchers in the field through social events and poster sessions.

  8. Can I use my own laptop for the practical sessions?

    • For remote participants / online sessions, you must use your own computer / laptop. For those attending in person, we strongly recommend bringing your own laptop. There are no specific hardware requirements. Only make sure you have Google Chrome installed, which is used to access the lab environment, Colab. If you can't bring your laptop, we will provide a computer. During registration, for in-person attendants, you will be asked to specify whether you can bring your own laptop.

10. Will I receive a proof of attendance?

    • Yes, participants will receive an electronic certificate at the end of the school that will include details about the number of hours of lectures, lab sessions, poster sessions attended during the school. This information can be used by each university or doctoral school to calculate the corresponding number of ECTS credits.

11. Do I need a visa to attend the summer school?

    • Lithuania is in the Schengen area. Depending on your nationality, you might need a visa to travel to Lithuania for the school. This would be a short-stay, single or multiple entry visa. Check here to see if you need a visa.

    • If you wish to attend the school in-person and you get selected for this option and you need a visa, contact us at contact@eeml.eu and we will send you an invitation letter.

Your question is not in the list?

Please write to us at contact@eeml.eu.