Related Research Groups
Lifelong Machine Learning and Reasoning
The Machine Learning Research Group (MLRG) undertakes research into novel machine learning and data mining algorithms and approaches, and the application of these approaches to synthetic and real-world problems. The lab’s researchers and students specialize in developing machine learning algorithms and methods particularly those in the area of Lifelong Machine Learning, Transfer Learning, Knowledge Consolidation, and Learning to Reason. The group has particular expertise in artificial neural networks and deep learning used for supervised, unsupervised and time series problems. We also apply standard machine learning methods as well as more advanced LMLR approaches to problems in the areas of data mining, adaptive systems, intelligent agents and robotics. For more information please see the Software, Data and Publication pages.
Lifelong Machine Learning Research Group
Our research focuses on the development of methods for AI systems that learn over long-term deployments. Most AI methods assume a fixed set of tasks and a static instance distribution that is known at training time and evaluation time. Our work breaks these assumptions, allowing for our methods to adapt to new tasks while deployed in novel domains, unlocking new directions of work in robotics and medicine.