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227-0559-00L 2 Credits DR , MSC D-ITET , D-INFK

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Seminar in Deep Neural Networks

Lecturers & Examiners: Prof. Dr. Roger Wattenhofer, Dr. Béni Egressy, Dr. Peter Belcák

Number of participants limited to 25.

VVZ CR 3.0

Last Updated: 2026-02-05 16:07:30

Abstract

In this seminar participating students present and discuss recent research papers in the area of deep neural networks.

Objective

We aim at giving the students an in depth view on the current advances in the area by discussing recent papers as well as discussing current issues and difficulties surrounding deep neural networks. The students will learn to read, evaluate and challenge research papers, prepare coherent scientific presentations and lead a discussion on their topic.

Content

The seminar will cover a range of research directions, with a focus on Graph Neural Networks, Algorithmic Learning, Reinforcement Learning and Natural Language Processing. It will be structured in blocks with each focus area being briefly introduced before presenting and discussing recent research papers. Papers will be allocated to the students based on their preferences. For more information see www.disco.ethz.ch/courses.html .

Resources

Lecture Notes

Slides of presentations will be made available.

Literature

The paper selection can be found on www.disco.ethz.ch/courses.html .

Learning Materials (Links)

Main link
Information

General Information

Language: English
Levels: DR , MSC
Frequency: Yearly recurring

Examination

Type: graded semester performance

Registration & Places

Signup End: 15.02.2022

Course Components

Type	Title	Time & Place	Hours
seminar	Seminar in Deep Neural Networks	Tue 10:15-12:00 (ETZ G 91)	2 h weekly

Offered In

Computer Science Master
- Master Studies (Programme Regulations 2020)
  - Seminar
- Master Studies (Programme Regulations 2009)
  - Focus Courses
    - Focus Courses General Studies
      - Seminar in General Studies
Electrical Engineering and Information Technology Master
- Master Studies (Programme Regulations 2018)
  - Computers and Networks (The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Computers and Networks", see . The individual study plan is subject to the tutor's approval.)
    - Specialization Courses (These specialization courses are particularly recommended for the area of "Computers and Networks", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialization courses during the Master's Programme.)
- Master Studies (Programme Regulations 2008)
  - Major Courses (A total of 42 CP must be achieved form courses during the Master Program. The individual study plan is subject to the tutor's approval.)
    - Computers and Networks
      - Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
Doctorate Information Technology and Electrical Engineering (More Information at: )
- Subject Specialisation (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see other categories for details) The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)