INFO8010 - Deep Learning

Lectures for INFO8010 - Deep Learning, ULiège, Spring 2020.

• Instructor: Gilles Louppe ([email protected])
• Teaching assistants: Matthia Sabatelli ([email protected]), Antoine Wehenkel ([email protected])
• When: Spring 2020, Friday 8:30AM 9:00AM
• Classroom: B28/R3 Lectures are now virtual.

Agenda

Project

See instructions in project.md.

Reading assignment

Your task is to read and summarize a major scientific paper in the field of deep learning. You are free to select one among the following three papers:

• J. Redmon and A. Farhadi, "YOLO9000: Better, Faster, Stronger", 2017. [pdf]
• A. Vaswani et al, "Attention is all you need", 2017. [pdf]
• M. Geiger et al, "Scaling description of generalization with number of parameters in deep learning", 2019. [pdf]

You should produce a report that summarizes the problem that is tackled by the paper and explains why it is challenging or important. The report should outline the main contributions and results with respect to the problem that is addressed. It should also include a critical discussion of the advantages and shortcomings of the contributions of the paper.

Constraints:

• You can work in groups of maximum 3 students.
• You report must be written in English.
• 2 pages (excluding references, if any).
• Formatted using the LaTeX template template-report.tex.

Your report should be submitted by April 24, 2020 at 23:59 on the submission platform. This is a hard deadline.

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