Zeynep Akata
Director Institute of Explainable Machine LearningResearch Focus
Our goal is to contribute to the sustainability and trustworthiness of AI-based solutions by designing and implementing vigilant AI systems with improved transparency such that they are more accountable and in accordance with the GDPR. We do fundamental research in machine learning, computer vision and natural language processing. We use a methodological mix of explainable, multi-modal, and low-shot learning in the context of computer vision to tackle several societal problems and provide machine learning solutions to them.
Y Xian, CH Lampert, B Schiele, Z Akata. 2019. Zero-shot learning comprehensive evaluation of the good, the bad, and the ugly. IEEE TPAMI
L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata. 2023. In- Context Impersonation Reveals Large Language Models' Strenghts and Biases. NeurIPS
K Roth, L Thede, AS Koepke, O Vinyals, O Hénaff, Z Akata. 2024. Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR
For complete list of publications, see Google Scholar.
Skills & Expertise
Computer VisionMachine LearningVision and LanguageZero - Shot Learning
Professional Background
Director of Institute for Explainable Machine Learning, Professor of Computer Science at Technical University of Munich
Professor of Computer Science at University of Tübingen
Senior Researcher at Max Planck Institute for Intelligent Systems
Tenure Track Assistant Professor at Universiy of Amsterdam, Scientific Director of UvA-Bosch Delta Lab
Senior Group Leader at Mx Planck Institute for Informatics
Postdoc at UC Berkeley
Postdoc at Max Planck Institute for Informatics
Research Scientist at Xerox Research Center Europe and PhD student at INRIA Rhone Alpes
Honors and Awards
2014 - Lise Meitner Award for Excellent Women in Computer Science
2018 - ELLIS Fellowship
2019 - ERC Starting Grant
2021 - German Pattern Recognition Award
2022 - ECVA Young Researcher Award
2023 - Alfried Krupp Award
