Seminar Humans in the Loop: The Design of Interactive AI Systems (SemHitL)2.5 ECTS
(englische Bezeichnung: Seminar Humans in the Loop: The Design of Interactive AI Systems)

Lehrveranstaltungen:

• • Seminar Humans in the Loop: The Design of Interactive AI Systems
    (Seminar, 2 SWS, Bernhard Kainz, Zeit und Raum n.V.)

Inhalt:

Human-in-the-Loop Machine Learning describes processes in which humans and Machine Learning algorithms interact to solve one or more of the following: Making Machine Learning more accurate Getting Machine Learning to the desired accuracy faster Making humans more accurate Making humans more efficient Aim of this seminar is to give students insights about state-of-the-art Active Learning and interactive data analysis methods. Students will work independently on specific topics including implementation and analytical components alongside lectures delivered by the course lead, guest lectures and flipped classroom sessions, where students explore a topic independently, which is then discussed in class. Several potential topics will be provided but students are also encouraged to propose their own topics (after discussion with course lead). Topics covered will include but are not limited to: Introduction to

Lernziele und Kompetenzen:

Human-in-the-Loop Machine Learning Active Learning Strategies:
Uncertainty Sampling
Diversity Sampling
Other Strategies
Annotating Data for Machine Learning
Who are the right people to annotate your data?
Quality control for data annotation
User interfaces for data annotation
Transfer Learning and Pre-Trained Models
What are Embeddings?
What is Transfer Learning?
Adaptive Learning
Machine-Learning for aiding human annotation
Advanced Human-in-the-Loop Machine Learning

Literatur:

17 Bibliography A specific reading list will be established at the beginning of each term, general literature is listed below: Quinn J, McEachen J, Fullan M, Gardner M, Drummy M. Dive into deep learning: Tools for engagement. Corwin Press; 2019 Jul 15. https://d2l.ai/ Goodfellow I, Bengio Y, Courville A, Bengio Y. Deep learning. Cambridge: MIT press; 2016 Nov 18. https://www.deeplearningbook.org/ Budd S, Robinson EC, Kainz B. A survey on active learning and human-in-the-loop deep learning for medical image analysis. arXiv preprint arXiv:1910.02923. 2019 Oct 7. https://arxiv.org/abs/1910.02923

Studien-/Prüfungsleistungen:

Seminar Humans in the Loop: The Design of Interactive AI Systems (Prüfungsnummer: 317533)

(englischer Titel: Seminar Humans in the Loop: The Design of Interactive AI Systems)

Seminarleistung, benotet

weitere Erläuterungen:
Die Gesamtnote setzt sich zu 100% aus der Bewertung des Vortrags zusammen. Benotet wird ein Vortrag von 30 Minuten über ein vorgegebenes Thema. Ziel ist es diese Zeit möglichst genau einzuhalten und den anderen Studenten möglichst präzise einen Überblick über das Themengebiet zu geben. Hierbei wird neben der Vortragsweise und des Inhalts insbesondere auch die Qualität der Folien bewertet. Der Vortrag sollte auf Englisch erfolgen.

Prüfungssprache: Englisch

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023

1. Prüfer:

Bernhard Kainz