We’re the Applied Machine Learning lab at Queen Mary University of London, a research group within Electronic Engineering and Computer Science. Our members belong to various groups within EECS, including Risk and Information Management, Computer Vision, and Cognitive Science.
We study a variety of ML methodologies:
- Lifelong Machine Learning
- Transfer and Multi-Task Learning
- Domain Adaptation
- Cross-modal and zero-shot learning
- Deep Learning
- Bayesian Probabilistic Models
- Reinforcement Learning
- Active learning and Active perception
- Weakly and semi-supervised learning
…and application areas:
- Computer vision
- Vision and Language
- Robotics
- Human Computer Interfaces
- Health and Medicine
- Social Network Analytics
- Business Data Analytics