Timothy Hospedales

Personal Chair of Artificial Intelligence

Willingness to take PhD students: Yes

AI, Machine Learning applied to Computer Vision, Robotics and beyond. Meta-Learning, Learning to Learn, Transfer Learning.

	Bachelor of Arts, University of Cambridge
	Doctor of Philosophy (PhD), University of Edinburgh

Fellow of the Higher Education Academy, FHEA

Research expertise	Computer Vision, Machine Learning

Computer Vision: Recognition, retrieval, matching. Person re-identification. Zero-shot learning. Vision and language.

Robotics: Contextual Policies, Paramaterised Skills, Reinforcement Learning.

Machine Learning: Lifelong learning, transfer learning, multi-task learing, active learning, deep learning, probabilistic modeling.

Research outputs

Differentiable Automatic Data Augmentation
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
BézierSketch: A Generative Model for Scalable Vector Sketches
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning to Generate Novel Domains for Domain Generalization
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

ID: 27838457