by Joerg Simon Wicker | Jun 25, 2021 | Adversarial Learning, Bias, Join us
Summary We aim to design and develop new methods to attack machine learning models and identify the lack of reliability, for example related to bias in the data and model. These issues can cause problems in various applications, caused by weak performances of models...
by Katharina Dost | Apr 15, 2021 | Bias, Fairness, ML Student Seminar, News
Speaker: Annie Lu, PhD student, supervised by Yun Sing Koh, and Joerg Wicker Abstract: Regional varieties of languages such as dialects have proved to have different syntactic and semantic features in the linguistics discipline. However, these dialects have low...
by Joerg Simon Wicker | Jan 13, 2021 | Bias, News, Research
Kia Ora! I am Katharina Dost, a PhD student in my second year with the School of Computer Science. My research topic is “Identification and Mitigation of Selection Bias” and I would like to use this post to talk about my research and my experiences, so read on! Our...
by Joerg Simon Wicker | Jul 3, 2020 | Bias, Seminar
Provisional Year Seminar – Katharina Dost – Identification and Mitigation of Selection Bias July 15, 2020 2:00 pm - 3:00 pm Provision Year Seminar Download iCal file for this event...
