Akata team
EXPLAINABLE MACHINE LEARNING
Zeynep Akata - Group leader
MOVING FORWARD EXPLAINABLE MACHINE LEARNING, MULTI-MODAL LEARNING AND LOW-SHOT LEARNING
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.
Research lines
- Explainable Machine Learning,
- Computer Vision,
- Machine Learning,
- Vision and Language,
- Zero-Shot Learning
