Advanced Machine Learning Session

Wednesday 6 - 7:45 pm // Stay on top of the developments in machine learning by watching current conference talks and discussing new models and applications.


Bei ausreichender Teilnahme kannst Du für diesen Kurs eine Teilnahmebescheinigung erhalten.

Im Rahmen dieses Kurses kann man kein Leistungszertifikat erwerben.



This course is a hybrid course; you can participate either online via Zoom or in presence in Kiel (the number of places for presence participation is very limited).

Your Background

You already have knowledge about Machine Learning and are interested in reading current papers and discussing new applications.

Course Content

This course features a wide variety of conference talks, video contents or interesting papers about machine learning. The aim is to keep updated with latest development and to have a look behind the scene about what is actually happening.

In each session after a small introduction we will watch together some content and start a discussion to improve our understanding and see different point of views. Experts will be invited to give a talk and to give the possibility to ask them directly.

The course content is on purpose open-ended, leaving space to adapt to newest breakthrough and discoveries in this quickly evolving field.

No project is required in this course. However, no ECTS Credits will be awarded.

How It Works

The course will take place every Wednesday from 6 pm to 7:45 pm.

Before the first meeting there will be a semesterkick-off on November 5

During the current Coronavirus outbreak, the course will be streamed online via Zoom.

The Formalities

In order to receive a certificate of attendance ("Teilnahmebescheinigung") for this course, active participation is expected, and no more than two classes may be missed.

Further details may be given in the course and here.


Advanced Machine Learning Session
Wintersemester 2020/2021
18:00 - 19:45 Uhr


Start: 11.11.2020
Ende: 27.01.2021
We watch together a video (around 30 minutes) from the MLSS 2020 Conference in the Max Planck Institute in Tübingen. A discussion will follow.

Steffen Brandt

We always here about CNN, RNN, LSTM, GAN, Transformer and many different network architecture: but what exactly do they mean and when it makes sense to use them? We try to summarize a bit the basic characteristics, pros and cons of the most used along with some example where these networks architecture are currently used. An open discussion among all participants will follow.

Luca Palmieri

Everybody have heard now of the possibility of having self-driving cars - but how exactly do they work and which are the greatest challenges ahead of us? We dive through a talk from Andrej Karpathy - head of Tesla AI and we discuss among us different perspective about this critical and fascinating possibility.

Luca Palmieri

We will get an introduction on the attention mechanism underlying the transformer model and on transformer models themselves and will discuss their differences to other models such as the LSTM.

Steffen Brandt

Natural Language Processing approaches recently showed impressive improvements, and the state-of-the-art techniques are able to produce human-like texts. But do these network really understand? What is the difference between the old models and the new one? A discussion about the model architecture and the possible applications will be opened.

Henrik Horst

All lessons in 2021 are left open. We want to discuss along the students the most interesting themes and choose openly among them. It will be decided during the first months of the course.

Steffen Brandt

All lessons in 2021 are left open. We want to discuss along the students the most interesting themes and choose openly among them. It will be decided during the first months of the course.

Luca Palmieri